Feature Engineering Pipelines
Building a Pipeline Without a Feature Store
ML Pipeline Using Feature Stores with FeatureEngineeringClient

Feature Engineering Pipelines

Feature engineering pipelines help you automate and modularize the process of turning your raw data into features that can be used to train your ML models. Specifically, they help with consistency, reproducibility, and debugging as you develop your ML model.

Databricks even has their own feature_engineering package. Here’s an example of importing their FeatureEngineeringClient and FeatureLookup class (also notice the MLflow import, which helps you manage your ML models).

# DBX Feature Engineering
from databricks.feature_engineering import FeatureEngineeringClient, FeatureLookup
import mlflow

Note

Databricks has their own guide on how to set up a feature engineering pipeline using PySpark. I highly recommend checking it out.

If you’d like to see the differences in ML pipelines with and without the use of Feature Stores (and the FeatureEngineeringClient), keep reading! If you’d just like to skip ahead to how a pipeline could be built using the FE client, click here.

If you’d like to simple brush up on why you should use a Feature Store in the first place, check out this EE post.

Building a Pipeline Without a Feature Store

I want to demonstrate the difference betweeen building a pipeline without a feature store, then later show how to streamline and optimize your MLOps by using a feature store with Databricks’s FeatureEngineeringClient class.

### BUILDING A PIPELINE WITHOUT A FEATURE STORE
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

import sklearn.datasets
import sklearn.metrics
import sklearn.model_selection
import sklearn.ensemble

import mlflow
mlflow.set_registry_uri("databricks-uc")

# Define the database variables
CATALOG_NAME = "main"
SCHEMA_NAME = "default"

# Read in the Databricks sample wine datasets
white_wine = spark.read.csv("/databricks-datasets/wine-quality/winequality-white.csv", sep=';', header=True)
red_wine = spark.read.csv("/databricks-datasets/wine-quality/winequality-red.csv", sep=';', header=True)

# Create cleaning function
def clean_columns(the_df):

    # Remove the spaces from the column names
    for c in the_df.columns:
        the_df = the_df.withColumnRenamed(c, c.replace(" ", "_"))

    return the_df

# Clean dataframes
white_wine = clean_columns(white_wine)
red_wine = clean_columns(red_wine)

# Define table names
red_wine_table = f"{CATALOG_NAME}.{SCHEMA_NAME}.red_wine"
white_wine_table = f"{CATALOG_NAME}.{SCHEMA_NAME}.white_wine"

# Write to tables in Unity Catalog
spark.sql(f"DROP TABLE IF EXISTS {red_wine_table}")
spark.sql(f"DROP TABLE IF EXISTS {white_wine_table}")
white_wine.write.saveAsTable(f"{CATALOG_NAME}.{SCHEMA_NAME}.white_wine")
red_wine.write.saveAsTable(f"{CATALOG_NAME}.{SCHEMA_NAME}.red_wine")

# Load data as Pandas dataframes
white_wine = white_wine.toPandas()
red_wine = red_wine.toPandas()

# Define a "feature engineering" function
# (This will be primitive and just for the demo)
def feature_engineer_cols(the_df, red=False):

  # Add Boolean fields for red and white wine
  if red:
    the_df['is_red'] = 1.0
  else:
    the_df['is_red'] = 0.0


  return the_df

# Add Boolean fields for red and white wine
white_wine = feature_engineer_cols(white_wine)
red_wine = feature_engineer_cols(red_wine, red=True)

# Concat
data_df = pd.concat([white_wine, red_wine], axis=0)

# Drop a few columns to later demonstrate
# how we will add new features to our pipeline
data_df = data_df.drop(columns=['alcohol','density','chlorides'])

# Define classification labels based on the wine quality
data_labels = data_df['quality'].astype('int') >= 7

# Drop our target, 'quality'. We will train a 
# later model on 'pH', so remove it here too.
training_df = data_df.drop(['quality','pH'], axis=1)

display(training_df.head(5))

fixed_acidity	volatile_acidity	citric_acid	residual_sugar	free_sulfur_dioxide	total_sulfur_dioxide	sulphates
7	0.27	0.36	20.7	45	170	0.45
6.3	0.3	0.34	1.6	14	132	0.49
8.1	0.28	0.4	6.9	30	97	0.44
7.2	0.23	0.32	8.5	47	186	0.4
7.2	0.23	0.32	8.5	47	186	0.4

# Wrap model training and logging into function
def train_and_log_model(
  data_df=training_df,
  data_labels=data_labels
  ):

  # Split 60/40 train-test
  X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(
    data_df,
    data_labels,
    test_size=0.4,
    random_state=1
  )

  # Now we will enable MLflow for logging
  mlflow.autolog()

  # Start the model training run
  with mlflow.start_run(run_name="gradient_boost") as run:

    # Define the model
    model = sklearn.ensemble.GradientBoostingClassifier(random_state=0)

    # Fit the model
    model.fit(X_train, y_train)

    # Get the probabilities for each prediction
    predicted_probs = model.predict_proba(X_test)

    # Get the area under curve
    roc_auc = sklearn.metrics.roc_auc_score(y_test, predicted_probs[:,1])

    # Plot ROC curve
    roc_curve = sklearn.metrics.RocCurveDisplay.from_estimator(model, X_test, y_test)

    # Save ROC curve plot to a file
    roc_curve.figure_.savefig("roc_curve.png")

    # The AUC score on test data is not automatically logged, so log manually
    mlflow.log_metric("test_auc", roc_auc)

    # Log the ROC curve image file as an artifact
    mlflow.log_artifact("roc_curve.png")

    # Log model
    mlflow.sklearn.log_model(model, 
                             name="wine_basic_class_model", 
                             input_example=X_train.head(5))

    print(f"Test AUC of: {roc_auc}")

    # Return model for additional metric testing if need be
    return model

# Call the function with our features
model = train_and_log_model()

2025/08/07 03:35:48 WARNING mlflow.utils.autologging_utils: MLflow spark autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:35:48 WARNING mlflow.spark: With Pyspark >= 3.2, PYSPARK_PIN_THREAD environment variable must be set to false for Spark datasource autologging to work.
2025/08/07 03:35:48 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.
2025/08/07 03:35:48 WARNING mlflow.utils.autologging_utils: MLflow pyspark.ml autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:35:48 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.ml.

🔗 View Logged Model at: https://dbc-464ba720-0425.cloud.databricks.com/ml/experiments/e7d759a1d0174066b059afb23856d04b/models/m-f0e1d60b5b1f44b08a873bc645964157?o=3203210999074204

Test AUC of: 0.8117605749869223

We have our model built, and we can see the run for it and include the test AUC score:

But what if you (or another Data Scientist) want to build a separate model using the same features? It might be smart to save your features into a table for someone else on your team (or an ML model) to access.

# Save our features table. 
# First convert Pandas DF back to Spark DF
spark_df = spark.createDataFrame(data_df)

# Save as a Delta table (overwrite mode)
spark_df.write.mode("overwrite").saveAsTable("main.default.wine_features_and_label")

Now let’s pretend another Data Scientist accesses your saved features-and-labels table, and uses it to build a separate model.

# Read in the table
new_df = spark.table("main.default.wine_features_and_label")
new_df = new_df.toPandas()

# Display data
new_df.head(5)

	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	free_sulfur_dioxide	total_sulfur_dioxide	pH	sulphates	quality	chlorides	density	alcohol	primary_key
0	9	0.17	0.49	1	46	131	3.09	0.51	7	None	None	None	None
1	6.4	0.26	0.49	6.4	37	161	3.38	0.53	6	None	None	None	None
2	9	0.22	0.49	10.4	52	195	3.31	0.44	6	None	None	None	None
3	8.9	0.32	0.49	1.6	17	131	3.13	0.34	5	None	None	None	None
4	8.2	0.2	0.49	3.5	14	108	3.19	0.35	6	None	None	None	None

Let’s assume the Data Scientist wants to build a regression model to predict the pH of a given sample of wine. I will remove the “quality” column so the model is not trained on it, assuming we wouldn’t have access to the quality feature in the first place for new data. (Otherwise, why would we have trained the first model to predict quality?)

# Remove the quality column and prepare dataframe for training
new_training_df = new_df.drop(columns=['quality','pH','chlorides','density','alcohol','primary_key'])
new_data_target = new_df['pH']

new_training_df

	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	free_sulfur_dioxide	total_sulfur_dioxide	sulphates	is_red
0	9	0.17	0.49	1	46	131	0.51	0.0
1	6.4	0.26	0.49	6.4	37	161	0.53	0.0
2	9	0.22	0.49	10.4	52	195	0.44	0.0
3	8.9	0.32	0.49	1.6	17	131	0.34	0.0
4	8.2	0.2	0.49	3.5	14	108	0.35	0.0
...	...	...	...	...	...	...	...	...
6492	6.2	0.6	0.08	2	32	44	0.58	1.0
6493	5.9	0.55	0.1	2.2	39	51	0.76	1.0
6494	6.3	0.51	0.13	2.3	29	40	0.75	1.0
6495	5.9	0.645	0.12	2	32	44	0.71	1.0
6496	6	0.31	0.47	3.6	18	42	0.66	1.0

6497 rows × 8 columns

Unable to display output for mime type(s): application/vnd.databricks.v1+display_df_hint

Let’s now build a regression model to predict the pH:

# Wrap model training into function
def train_regressor(
  features=new_training_df,
  target=new_data_target
):
  
  # Split 60/40 train-test
  X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(
    features,
    target,
    test_size=0.4,
    random_state=1
  )

  # Now we will enable MLflow for logging
  mlflow.autolog()

  # Start the model training run
  with mlflow.start_run(run_name="gradient_boost_regression") as run:
  
    # Define the model
    model = sklearn.ensemble.GradientBoostingRegressor(random_state=0)

    # Fit the model
    model.fit(X_train, y_train)

    # Get predictions
    y_pred = model.predict(X_test)

    # Get metrics
    r2 = sklearn.metrics.r2_score(y_test, y_pred)
    rmse = sklearn.metrics.root_mean_squared_error(y_test, y_pred)

    # Print metrics
    print("Regression Metrics:")
    print(f"  R2 Score: {r2:.3f}")
    print(f"  RMSE: {rmse:.3f}")

    # The AUC score on test data is not automatically logged, so log manually
    mlflow.log_metric("test_r2", r2)
    mlflow.log_metric("test_rmse", rmse)

    # Log model
    mlflow.sklearn.log_model(model, 
                             name="wine_basic_reg_model", 
                             input_example=X_train.head(5))

  return model

# Run the regression model
regress_model = train_regressor()

2025/08/07 03:36:00 WARNING mlflow.utils.autologging_utils: MLflow spark autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:36:00 WARNING mlflow.spark: With Pyspark >= 3.2, PYSPARK_PIN_THREAD environment variable must be set to false for Spark datasource autologging to work.
2025/08/07 03:36:00 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.
2025/08/07 03:36:00 WARNING mlflow.utils.autologging_utils: MLflow pyspark.ml autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:36:00 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.ml.

Regression Metrics:
  R2 Score: 0.440
  RMSE: 0.121

🔗 View Logged Model at: https://dbc-464ba720-0425.cloud.databricks.com/ml/experiments/e7d759a1d0174066b059afb23856d04b/models/m-0a8f774573544f8f9522a11b2e10dd03?o=3203210999074204

We have our model built. But what if we want to improve our feature set? How much work will it take to incorporate the changes into our pipeline without using a Feature Store? Let’s demonstrate with code.

Earlier, I dropped the following columns: ‘alcohol’,‘density’, and ‘chlorides’.

If we want to add them back in, I’ll need to read in the raw data again and join these features to our existing “features and label” table. But in order to do that, I’ll need to add a primary key to the dataset. In Databricks, all Delta Tables with primary keys are considered “feature tables.” And so, the lines between regular “silver tables” and “feature tables” are blurred (remember, they are conceptually the same).

Since we might as well add primary keys in case we need to join data in the present or future, Databricks will automatically treat these as feature tables in its Feature Store.

Note

Silver Tables \(\approx\) Feature Tables

Updating Our Feature Table, and ML Model, Without FeatureEngineeringClient()

Now that we are officially using feature tables, let’s take a look at how much additional work is needed to join new features, retrain models, and track performance without the use of Databricks’s FeatureEngineeringClient class.

The following code simulates what we would have to do in production if we got access to new features and wanted to optimize our model with them.

# For creating primary key
import uuid

# Read in the data
white_wine = spark.read.csv("/databricks-datasets/wine-quality/winequality-white.csv", sep=';', header=True)
red_wine = spark.read.csv("/databricks-datasets/wine-quality/winequality-red.csv", sep=';', header=True)

# Clean the data using previously 
# defined cleaning functions
white_wine = clean_columns(white_wine).toPandas()
red_wine = clean_columns(red_wine).toPandas()

# Feature engineer specific columns using 
# previously defined functions
white_wine = feature_engineer_cols(white_wine)
red_wine = feature_engineer_cols(red_wine, red=True)

# Append the tables together
data_df = pd.concat([white_wine, red_wine])

# Add primary key column
data_df['primary_key'] = [str(uuid.uuid4())[:8] for _ in range(len(data_df.index))]

# Overwrite our features table. 
# First convert Pandas DF back to Spark DF
spark_df = spark.createDataFrame(data_df)

# Save as a Delta table (overwrite mode for demo purposes only)
spark_df.write.mode("overwrite").option("mergeSchema", "true").saveAsTable("main.default.wine_features_and_label")

display(spark_df.head(5))

fixed_acidity	volatile_acidity	citric_acid	residual_sugar	chlorides	free_sulfur_dioxide	total_sulfur_dioxide	density	pH	sulphates	alcohol	quality	primary_key
7	0.27	0.36	20.7	0.045	45	170	1.001	3	0.45	8.8	6	8d4ba14e
6.3	0.3	0.34	1.6	0.049	14	132	0.994	3.3	0.49	9.5	6	39a97d59
8.1	0.28	0.4	6.9	0.05	30	97	0.9951	3.26	0.44	10.1	6	4a99979e
7.2	0.23	0.32	8.5	0.058	47	186	0.9956	3.19	0.4	9.9	6	675eb6f8
7.2	0.23	0.32	8.5	0.058	47	186	0.9956	3.19	0.4	9.9	6	672f1d6e

# Define classification labels based on the wine quality
data_labels = data_df['quality'].astype('int') >= 7
training_df = data_df.drop(['quality','primary_key'], axis=1)

# Re-train the classification model 
model = train_and_log_model(data_df=training_df, data_labels=data_labels)

2025/08/07 03:36:11 WARNING mlflow.utils.autologging_utils: MLflow spark autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:36:11 WARNING mlflow.spark: With Pyspark >= 3.2, PYSPARK_PIN_THREAD environment variable must be set to false for Spark datasource autologging to work.
2025/08/07 03:36:11 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.
2025/08/07 03:36:11 WARNING mlflow.utils.autologging_utils: MLflow pyspark.ml autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:36:11 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.ml.

🔗 View Logged Model at: https://dbc-464ba720-0425.cloud.databricks.com/ml/experiments/e7d759a1d0174066b059afb23856d04b/models/m-3faec17f477a4bccad5aac52e75e9be2?o=3203210999074204

Test AUC of: 0.8625166605757035

We can see that including the ‘alcohol’,‘density’, and ‘chlorides’ features have increased our ROC AUC score from 0.81 to 0.86. A small but meaningful improvement. Let’s re-train our regression model now.

# Remove the quality column and prepare dataframe for training
new_training_df = data_df.drop(columns=['quality','pH','primary_key'])
new_data_target = data_df['pH']

# Re-train and run the regression model
regress_model = train_regressor(features=new_training_df, target=new_data_target)

2025/08/07 03:36:20 WARNING mlflow.utils.autologging_utils: MLflow spark autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:36:20 WARNING mlflow.spark: With Pyspark >= 3.2, PYSPARK_PIN_THREAD environment variable must be set to false for Spark datasource autologging to work.
2025/08/07 03:36:20 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.
2025/08/07 03:36:20 WARNING mlflow.utils.autologging_utils: MLflow pyspark.ml autologging is known to be compatible with 3.2.1 <= pyspark <= 3.5.5, but the installed version is 4.0.0. If you encounter errors during autologging, try upgrading / downgrading pyspark to a compatible version, or try upgrading MLflow.
2025/08/07 03:36:20 INFO mlflow.tracking.fluent: Autologging successfully enabled for pyspark.ml.

Regression Metrics:
  R2 Score: 0.576
  RMSE: 0.104

🔗 View Logged Model at: https://dbc-464ba720-0425.cloud.databricks.com/ml/experiments/e7d759a1d0174066b059afb23856d04b/models/m-d5cedeafb26642afb1b7ede3a6d8c268?o=3203210999074204

Our R2 score has improved from 0.44 to 0.58, and our RSME has descreased from 0.12 to 0.10. More small but meaningful improvements. We can also continue tracking model runs and performance in the Experiments tab.

Our classification and regression models have improved.

Okay, we have successfully re-trained our ML models using the new features. But without using the FeatureEngineeringClient, we had to:

Re-clean the data
Re-feature engineer our columns
Retrain our ML models

Granted, half of the work could’ve been done if we had just used primary keys to begin with (thus just working with feature tables from the start). But we ended up writing a lot of code that may not have been necessary.

Also, let’s take a look at the lineage of the wine_and_features_label silver table:

Notice how there are no models associated with this table! We cannot easily find which models are associated with this data. This is one of the key differences between using a feature store or not. Feature stores help with logging and discoverability.

Note

If we had enforced the primary key, the table would have become a Feature Store by default, giving us this extra logging capability. You might as well enforce the primary key on all tables you plan to use for machine learning.

ML Pipeline Using Feature Stores with FeatureEngineeringClient

Let’s start over. But this time, we’ll make the ML pipeline using FeatureEngineeringClient and see how this streamlines things.

# Import DBX Feature Engineering
from databricks.feature_engineering import FeatureEngineeringClient, FeatureLookup
from pyspark.sql.functions import rand

# Create the FE Client
fe = FeatureEngineeringClient()

%sql
DROP TABLE IF EXISTS main.default.wine_feature_store;

# Turn data_df back into spark dataframe
data_df_spark = spark.createDataFrame(data_df)

# For demo purposes, we will drop a few columns 
# and add them back in later, to simulate adding 
# new features to a feature store and re-training 
# the model
features_df = data_df_spark.drop(
  'alcohol','density','chlorides',

  # Also drop the target columns
  'quality','pH'
  )

# Name the table
feature_table_name = "main.default.wine_feature_store"

# Create the feature table
fe.create_table(
  name=feature_table_name,
  primary_keys=["primary_key"],
  df=features_df,
  schema=features_df.schema,
  description="Wine features"
)

2025/08/07 03:36:31 INFO databricks.ml_features._compute_client._compute_client: Setting columns ['primary_key'] of table 'main.default.wine_feature_store' to NOT NULL.
2025/08/07 03:36:32 INFO databricks.ml_features._compute_client._compute_client: Setting Primary Keys constraint ['primary_key'] on table 'main.default.wine_feature_store'.
2025/08/07 03:36:37 INFO databricks.ml_features._compute_client._compute_client: Created feature table 'main.default.wine_feature_store'.

<FeatureTable: name='main.default.wine_feature_store', table_id='0cdbaf41-1178-4d27-9d55-0c0c5b62bf0a', description='Wine features', primary_keys=['primary_key'], partition_columns=[], features=['fixed_acidity',
 'volatile_acidity',
 'citric_acid',
 'residual_sugar',
 'free_sulfur_dioxide',
 'total_sulfur_dioxide',
 'sulphates',
 'is_red',
 'primary_key'], creation_timestamp=1754537791236, online_stores=[], notebook_producers=[], job_producers=[], table_data_sources=[], path_data_sources=[], custom_data_sources=[], timestamp_keys=[], tags={}>

## inference_data_df includes wine_id (primary key), 
# quality (prediction target), and a real time feature
inference_data_df = data_df_spark.select("primary_key", "quality", (10 * rand()).alias("real_time_measurement"))
display(inference_data_df.head(5))

primary_key	quality	real_time_measurement
8d4ba14e	6	7.293770324360791
39a97d59	6	2.168801847882328
4a99979e	6	7.286343110002258
675eb6f8	6	1.7918462641798583
672f1d6e	6	6.743945298734277

# Train a model using your features in the feature store.
# By default, all features except the primary key are
# returned unless explicitly stated otherwise using
# the 'feature_names=' parameter.
model_feature_lookup = [
  FeatureLookup(
    table_name=feature_table_name,
    lookup_key="primary_key")]

# Create the training set. This looks up features 
# in model_feature_lookups that match the primary 
# key from inference_data_df
training_set_classify = fe.create_training_set(
  df=inference_data_df,
  feature_lookups=model_feature_lookup,
  label="quality",
  exclude_columns=["primary_key"]
  )

training_pd = training_set_classify.load_df().toPandas()
training_pd.head()

	real_time_measurement	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	free_sulfur_dioxide	total_sulfur_dioxide	sulphates	quality
0	7.293770	7	0.27	0.36	20.7	45	170	0.45	6
1	2.168802	6.3	0.3	0.34	1.6	14	132	0.49	6
2	7.286343	8.1	0.28	0.4	6.9	30	97	0.44	6
3	1.791846	7.2	0.23	0.32	8.5	47	186	0.4	6
4	6.743945	7.2	0.23	0.32	8.5	47	186	0.4	6

from sklearn.model_selection import train_test_split

# Create train and test datasets
X = training_pd.drop(columns=['quality'])
y = training_pd['quality'].astype('int') >= 7

# Train + Temp (validate + test)
X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=1, stratify=y)

# Turn "Temp" Into Validate + Test
X_val, X_test, y_val, y_test = train_test_split(
  X_temp, y_temp, test_size=0.5, random_state=1, stratify=y_temp)

# We now have a 60/20/20 split of training/val/test data
print(X_train.shape)
print(X_val.shape)
print(X_test.shape)

X_train.head()

(3898, 9)
(1299, 9)
(1300, 9)

	real_time_measurement	fixed_acidity	volatile_acidity	citric_acid	residual_sugar	free_sulfur_dioxide	total_sulfur_dioxide	sulphates	is_red
3573	9.979406	7.8	0.31	0.4	1.6	20	87	0.48	0.0
4042	2.480755	7.4	0.16	0.27	15.5	25	135	0.43	0.0
2136	5.337906	7.9	0.18	0.36	5.9	31	132	0.52	0.0
4889	6.932405	4.9	0.235	0.27	11.75	34	118	0.5	0.0
5539	4.857749	9.5	0.59	0.44	2.3	21	68	0.63	1.0

# We will be training both a classification and 
# regression model for example only

from mlflow.tracking.client import MlflowClient
class_model_name = "main.default.wine_classification_model_2"

client = MlflowClient()

# Disable MLflow autologging, and instead log the model
# using Feature Engineering in UC
mlflow.sklearn.autolog(log_models=False)

# Fit and log model
with mlflow.start_run(run_name="gbclassifier_logging_model") as run:

  model = sklearn.ensemble.GradientBoostingClassifier(random_state=0)
  model.fit(X_train, y_train)
  predicted_probs = model.predict_proba(X_val)
  roc_auc = sklearn.metrics.roc_auc_score(y_val, predicted_probs[:,1])

  mlflow.log_metric("val_auc", roc_auc)

  fe.log_model(
    model=model,
    artifact_path="wine_quality_prediction",
    flavor=mlflow.sklearn,
    training_set=training_set_classify,
    registered_model_name=class_model_name
  )

  print(f"Test AUC of: {roc_auc}")

🔗 View Logged Model at: https://dbc-464ba720-0425.cloud.databricks.com/ml/experiments/e7d759a1d0174066b059afb23856d04b/models/m-445f867d719a4b0191684d0d7eed2791?o=3203210999074204
Registered model 'main.default.wine_classification_model_2' already exists. Creating a new version of this model...
2025/08/07 03:36:50 WARNING mlflow.tracking._model_registry.fluent: Run with id 02ade3e6500945349627a149c47cd6f1 has no artifacts at artifact path 'wine_quality_prediction', registering model based on models:/m-445f867d719a4b0191684d0d7eed2791 instead

🔗 Created version '10' of model 'main.default.wine_classification_model_2': https://dbc-464ba720-0425.cloud.databricks.com/explore/data/models/main/default/wine_classification_model_2/version/10?o=3203210999074204

Test AUC of: 0.7870370370370369

# Let's test the model on our X_test dataset now
with mlflow.start_run(run_name="gbclassifier_logging_model") as run:
  predicted_probs = model.predict_proba(X_test)
  roc_auc = sklearn.metrics.roc_auc_score(y_test, predicted_probs[:,1])
  mlflow.log_metric("test_auc", roc_auc)
  print(roc_auc)

0.8036080429837165

Now let’s do what we did before. Incorporate the “new” columns, re-train, and re-validate our model. This time, we’ll use the FeatureEngineeringClient to help us.

# Merge "new" features into our features table
new_features = data_df_spark.select('alcohol','density','chlorides','primary_key') 

fe.write_table(
  name=feature_table_name,
  df=new_features,
  mode="merge"
)

# Let's read in the feature store just to make sure
display(fe.read_table(name=feature_table_name))

fixed_acidity	volatile_acidity	citric_acid	residual_sugar	free_sulfur_dioxide	total_sulfur_dioxide	sulphates	is_red	primary_key	alcohol	density	chlorides
6.4	0.25	0.37	4.5	41	147	0.4	0.0	d5c05724	11.1	0.9921	0.039
6.4	0.23	0.35	4.6	43	147	0.4	0.0	ef525811	11	0.99216	0.039
6.7	0.13	0.45	4.2	52	131	0.54	0.0	c130eeb7	11.3	0.99162	0.043
6.7	0.24	0.37	11.3	64	173	0.53	0.0	67d7cf1a	9.9	0.99632	0.043
7.1	0.26	0.37	5.5	31	105	0.33	0.0	f0bb7be8	12.6	0.99082	0.025
5.3	0.3	0.16	4.2	37	100	0.36	0.0	a295151b	11.8	0.9905	0.029
7.1	0.38	0.4	2.2	54	201	0.5	0.0	4f9049ab	11.4	0.99177	0.042
7.4	0.19	0.31	14.5	39	193	0.5	0.0	74b6aaeb	9.2	0.9986	0.045
7.4	0.19	0.31	14.5	39	193	0.5	0.0	9d800d91	9.2	0.9986	0.045
7.4	0.19	0.31	14.5	39	193	0.5	0.0	250907ad	9.2	0.9986	0.045
7.4	0.19	0.31	14.5	39	193	0.5	0.0	5782c72a	9.2	0.9986	0.045
7.4	0.19	0.31	14.5	39	193	0.5	0.0	03b360e4	9.2	0.9986	0.045
7.4	0.19	0.31	14.5	39	193	0.5	0.0	5a63b220	9.2	0.9986	0.045
6.3	0.32	0.32	1.5	24	101	0.42	0.0	8c21e8c3	13	0.98923	0.03
7.6	0.19	0.32	18.75	32	193	0.5	0.0	ebebae33	9.3	1.00014	0.047
6.5	0.26	0.31	3.6	36	92	0.62	0.0	1af73c9f	12.6	0.99026	0.03
5.9	0.24	0.12	1.4	60	247	0.44	0.0	b4c6bc22	9.6	0.99358	0.035
4.2	0.215	0.23	5.1	64	157	0.44	0.0	fd4e6d4b	8.0	0.99688	0.041
8.1	0.24	0.32	10.5	34	105	0.42	0.0	6a9ed97c	11.8	0.99407	0.03
5.8	0.23	0.2	2	39	154	0.39	0.0	dea795d9	10.2	0.99226	0.043
7.5	0.33	0.36	2.6	26	126	0.53	0.0	66e1467a	12.7	0.99097	0.051
6.6	0.38	0.36	9.2	42	214	0.56	0.0	9af0a6f6	9.4	0.9976	0.061
6.4	0.15	0.29	1.8	21	115	0.38	0.0	547964c1	10.2	0.99166	0.044
6.5	0.32	0.34	5.7	27	91	0.6	0.0	0edc7ae5	12	0.99184	0.044
7.5	0.22	0.32	2.4	29	100	0.6	0.0	445b22ad	11.3	0.99135	0.045
6.4	0.23	0.32	1.9	40	118	0.53	0.0	2d972765	11.8	0.99074	0.038
6.1	0.22	0.31	1.4	40	129	0.59	0.0	fb23f50d	10.9	0.99193	0.039
6.5	0.48	0.02	0.9	32	99	0.47	0.0	8a079a1b	9.8	0.99226	0.043
6.6	0.23	0.3	4.6	29	154	0.49	0.0	85709aba	12.2	0.99142	0.06
6.4	0.16	0.25	1.4	21	125	0.44	0.0	edc99a79	11.1	0.99091	0.057
6.6	0.38	0.36	9.2	42	214	0.56	0.0	94c6bc7c	9.4	0.9976	0.061
7.4	0.16	0.32	1.4	23	140	0.47	0.0	52fe33b3	11.4	0.99134	0.065
6.4	0.15	0.29	1.8	21	115	0.38	0.0	7e986a8d	10.2	0.99166	0.044
6.5	0.32	0.3	2.3	20	127	0.52	0.0	1b9bf645	12.8	0.98964	0.051
6.7	0.12	0.36	2.3	43	125	0.67	0.0	ad7a9af6	10.1	0.99229	0.039
6.6	0.2	0.14	4.4	35	168	0.45	0.0	d36b4308	9.4	0.99396	0.184
8	0.34	0.25	6.4	38	103	0.23	0.0	cdff3b93	12.2	0.99148	0.035
6.8	0.21	0.31	2.9	40	121	0.65	0.0	4ce161dc	10.9	0.9913	0.046
6.8	0.23	0.31	2.8	40	122	0.64	0.0	f068fa57	10.9	0.99126	0.047
6.8	0.21	0.31	2.9	40	121	0.65	0.0	212e780c	10.9	0.9913	0.046
6.6	0.2	0.14	4.4	35	168	0.45	0.0	85ff774f	9.4	0.99396	0.184
6.6	0.28	0.42	8.2	60	196	0.48	0.0	e82d44ef	9.4	0.99562	0.044
7.8	0.25	0.37	1	10	80	0.38	0.0	e41a0a48	11.4	0.99128	0.043
5.6	0.12	0.33	2.9	21	73	0.32	0.0	842a75ac	12.9	0.98896	0.044
6.6	0.28	0.41	7	59	194	0.48	0.0	7bb46c54	9.4	0.99558	0.046
6.8	0.17	0.35	1.8	29	84	0.57	0.0	0b800da8	12	0.98961	0.04
7.3	0.25	0.28	1.5	19	113	0.56	0.0	9490757e	10.1	0.99338	0.043
6.6	0.28	0.41	7	59	194	0.48	0.0	6120f7ff	9.4	0.99558	0.046
6.6	0.28	0.42	8.2	60	196	0.48	0.0	b83719dd	9.4	0.99562	0.044
6.5	0.25	0.5	7.6	54	184	0.45	0.0	57a6e63c	9.2	0.99572	0.047
6.3	0.24	0.35	2.3	43	109	0.44	0.0	22d41d91	11.8	0.99056	0.039
6.8	0.32	0.32	8.7	31	105	0.34	0.0	b32bcbc3	12.3	0.99146	0.029
7.8	0.25	0.37	1	10	80	0.38	0.0	09c66c6c	11.4	0.99128	0.043
5.6	0.12	0.33	2.9	21	73	0.32	0.0	980122ef	12.9	0.98896	0.044
6.6	0.24	0.28	6.7	26	91	0.32	0.0	fcd9b6a7	12.3	0.99172	0.032
6.3	0.22	0.34	5	36	93	0.36	0.0	8edc6705	13.5	0.99012	0.032
6	0.32	0.3	1.9	41	142	0.42	0.0	be87fd7e	12.8	0.98912	0.033
6.3	0.19	0.29	2	33	96	0.54	0.0	aafc86e5	12.8	0.98902	0.022
6	0.32	0.3	1.9	41	142	0.42	0.0	8145bffb	12.8	0.98912	0.033
9.4	0.24	0.29	8.5	124	208	0.38	0.0	fa62b299	11	0.99395	0.037
6.4	0.35	0.28	12.6	19	124	0.43	0.0	bc40655a	10.6	0.99539	0.039
6.7	0.46	0.27	5.2	35	96	0.44	0.0	cbaf92d0	12.4	0.99129	0.039
6.3	0.3	0.29	2.1	33	142	0.46	0.0	fd0d6981	12.9	0.98956	0.048
6	0.19	0.29	1.1	67	152	0.59	0.0	0d3ee2bc	11.1	0.9916	0.047
5.9	0.24	0.28	1.3	36	95	0.64	0.0	4752bd7a	12.9	0.98889	0.032
7.3	0.145	0.33	1.1	14	64	0.37	0.0	b3931f70	11.8	0.99012	0.042
6.6	0.435	0.38	9.2	66	243	0.54	0.0	c90b096a	9.1	0.99833	0.058
5.8	0.18	0.37	1.2	19	74	0.49	0.0	38761dec	12.7	0.98853	0.036
5.8	0.18	0.37	1.1	31	96	0.48	0.0	45c151e7	12	0.98942	0.036
5.6	0.32	0.32	8.3	32	105	0.47	0.0	f1d1a059	11.2	0.99266	0.043
6.6	0.16	0.35	1.8	26	105	0.75	0.0	7568a23e	12.4	0.98962	0.042
5.1	0.21	0.28	1.4	48	148	0.49	0.0	39ed1fdc	10.4	0.99168	0.047
7.5	0.29	0.36	15.7	29	124	0.54	0.0	a8e1c89d	10.4	0.9968	0.05
6	0.26	0.33	4.35	15	80	0.5	0.0	e4ecff61	12.7	0.98934	0.04
5.7	0.26	0.3	1.8	30	105	0.52	0.0	7000efbe	12.5	0.98995	0.039
7.1	0.17	0.31	1.6	15	103	0.5	0.0	b3c73b32	12	0.991	0.037
6.9	0.17	0.3	2	13	117	0.51	0.0	ace7a34c	11.6	0.99152	0.047
6.8	0.25	0.28	5	42	126	0.38	0.0	b9cbbc41	12.6	0.99048	0.035
6.6	0.17	0.28	1.8	62	178	0.42	0.0	c3c5f0ab	10.2	0.99204	0.042
5.8	0.17	0.36	1.3	11	70	0.68	0.0	b07f704c	10.4	0.99202	0.036
6.4	0.24	0.29	1	18	122	0.42	0.0	9907d085	11.5	0.9906	0.038
6.7	0.21	0.34	1.4	36	112	0.5	0.0	d6580077	11	0.99091	0.049
6.7	0.23	0.33	8.1	45	176	0.52	0.0	b4a5413a	10.1	0.99472	0.048
6.8	0.23	0.32	8.6	47	159	0.52	0.0	9aa497bf	10.5	0.99452	0.046
6.5	0.22	0.28	3.7	29	151	0.41	0.0	76e2a80e	12.1	0.99177	0.059
5.1	0.165	0.22	5.7	42	146	0.55	0.0	c5c0fd1e	9.9	0.9934	0.047
6.6	0.425	0.25	2.35	23	87	0.41	0.0	0c944261	11.4	0.99082	0.034
6.9	0.38	0.29	13.65	52	189	0.6	0.0	5bc6f132	9.5	0.99784	0.048
6.9	0.38	0.29	13.65	52	189	0.6	0.0	83a77683	9.5	0.99784	0.048
6.9	0.38	0.29	13.65	52	189	0.6	0.0	a7136935	9.5	0.99784	0.048
7.2	0.27	0.28	15.2	6	41	0.39	0.0	1cd2ebc4	10.9	0.99665	0.046
7.6	0.17	0.27	4.6	23	98	0.47	0.0	35956e25	9.5	0.99422	0.05
6.2	0.3	0.31	1.2	19	125	0.54	0.0	cc0df4fe	12.6	0.98999	0.048
7.6	0.17	0.27	4.6	23	98	0.47	0.0	7bebf6e4	9.5	0.99422	0.05
6.5	0.26	0.32	6.65	34	104	0.42	0.0	ea6464f0	11.1	0.99254	0.059
6.9	0.36	0.28	13.55	51	189	0.6	0.0	73b0527c	9.5	0.99782	0.048
6.9	0.38	0.29	13.65	52	189	0.6	0.0	3ff9a1a0	9.5	0.99784	0.048
6.8	0.18	0.24	9.8	64	188	0.51	0.0	570db852	10.6	0.9952	0.058
6.7	0.18	0.24	10.3	64	185	0.5	0.0	472ce2e6	10.6	0.99519	0.057
6.6	0.16	0.21	6.7	43	157	0.52	0.0	603fa27d	10.8	0.99384	0.055
7.2	0.27	0.28	15.2	6	41	0.39	0.0	a80e653a	10.9	0.99665	0.046
6.4	0.17	0.27	9.9	26	101	0.5	0.0	5248c868	9.9	0.99596	0.047
7.2	0.22	0.28	7.2	41	132	0.59	0.0	af52e5d2	11.3	0.9935	0.06
6	0.22	0.28	1.1	47	90	0.38	0.0	575ed0fd	12.6	0.98862	0.034
6.7	0.36	0.28	8.3	29	81	0.39	0.0	62039061	12.5	0.99151	0.034
6.5	0.43	0.28	11.25	31	87	0.38	0.0	4e16b337	12.4	0.9922	0.032
5.9	0.2	0.28	12.8	29	132	0.57	0.0	d7ce744a	11.8	0.99426	0.038
5.3	0.32	0.23	9.65	26	119	0.53	0.0	8c19fda4	12.2	0.99168	0.026
6.8	0.2	0.28	12.6	54	136	0.37	0.0	1f17153f	10.7	0.99556	0.048
6	0.22	0.33	12.2	25	97	0.42	0.0	07c8661e	11.3	0.99356	0.033
6.7	0.36	0.28	8.3	29	81	0.39	0.0	c6090f31	12.5	0.99151	0.034
6.5	0.43	0.28	11.25	31	87	0.38	0.0	483bb38e	12.4	0.9922	0.032
7.1	0.18	0.49	1.3	12	72	0.53	0.0	0ef0cb13	11.3	0.99072	0.033
6.4	0.17	0.27	9.9	26	101	0.5	0.0	f5495fb0	9.9	0.99596	0.047
7.2	0.22	0.28	7.2	41	132	0.59	0.0	92d2c08b	11.3	0.9935	0.06
6	0.22	0.28	1.1	47	90	0.38	0.0	9146c671	12.6	0.98862	0.034
6	0.2	0.26	1.1	38	67	0.38	0.0	61d0b465	11.5	0.98954	0.033
7.6	0.2	0.26	4.8	26	76	0.49	0.0	c81aa803	12.3	0.99076	0.033
6.2	0.3	0.21	1.1	31	111	0.42	0.0	34682477	12.2	0.9889	0.032
6	0.29	0.25	1.4	30	114	0.43	0.0	c9eac3d9	13.2	0.98794	0.033
6.6	0.18	0.28	1.7	53	161	0.45	0.0	5d5ab178	10.2	0.99207	0.041
7	0.22	0.28	10.6	32	117	0.55	0.0	4e2762a0	11.5	0.99355	0.039
6	0.29	0.25	1.4	30	114	0.43	0.0	e2e06a19	13.2	0.98794	0.033
6.2	0.3	0.21	1.1	31	111	0.42	0.0	c4922bc0	12.2	0.9889	0.032
5.6	0.15	0.26	5.55	51	139	0.5	0.0	93f133ea	11	0.99336	0.051
6.9	0.28	0.24	2.1	49	121	0.43	0.0	5fb2e8b6	13.2	0.98882	0.034
5.9	0.19	0.21	1.7	57	135	0.44	0.0	233835de	9.5	0.99341	0.045
7.8	0.22	0.26	9	38	132	0.53	0.0	c47bc924	10.2	0.997	0.047
6.6	0.18	0.28	1.7	53	161	0.45	0.0	3f18186a	10.2	0.99207	0.041
7	0.4	0.25	1.8	51	189	0.55	0.0	908db33e	11.4	0.99174	0.05
6.1	0.28	0.27	4.7	56	140	0.42	0.0	c109a091	12.5	0.99042	0.03
7.6	0.36	0.49	11.3	87	221	0.43	0.0	fc834f2e	9.2	0.9984	0.046
6.5	0.28	0.34	3.6	29	121	0.48	0.0	799559db	12.1	0.99111	0.04
6.9	0.19	0.35	6.9	51	125	0.44	0.0	10e370c9	10.7	0.9933	0.045
6.5	0.28	0.34	3.6	29	121	0.48	0.0	284508b8	12.1	0.99111	0.04
6.4	0.22	0.32	4.9	50	156	0.55	0.0	df2196c5	11.2	0.99316	0.046
6.8	0.23	0.3	6.95	42	179	0.56	0.0	0a63e444	10.6	0.9946	0.044
6.4	0.32	0.31	1.9	34	126	0.45	0.0	61e619d8	11.8	0.99	0.037
6.1	0.28	0.27	4.7	56	140	0.42	0.0	21a560e6	12.5	0.99042	0.03
7.6	0.36	0.49	11.3	87	221	0.43	0.0	e72952ad	9.2	0.9984	0.046
8.8	0.39	0.35	1.8	22	80	0.54	0.0	763a13de	12.6	0.99016	0.096
6.6	0.24	0.3	11.3	11	77	0.55	0.0	65c187f5	12.8	0.99381	0.026
6.9	0.29	0.3	8.2	35	112	0.37	0.0	d8be9117	12.3	0.99144	0.026
6.9	0.28	0.3	8.3	37	113	0.38	0.0	17925aca	12.3	0.99139	0.026
6.7	0.38	0.26	9.55	35	91	0.37	0.0	cb2342b1	12.4	0.9919	0.036
8	0.28	0.3	8.4	35	115	0.42	0.0	ea2e41eb	12.3	0.99192	0.03
6.5	0.25	0.45	7.8	52	188	0.53	0.0	cc87dd1b	9.1	0.99576	0.048
6.6	0.26	0.46	7.8	48	186	0.54	0.0	5b86cc2e	9.1	0.9958	0.047
7.4	0.29	0.28	10.2	43	138	0.47	0.0	58472284	10.6	0.9951	0.032
6.3	0.19	0.29	5.5	44	189	0.47	0.0	1f9b8fad	10.3	0.99304	0.042
6.1	0.33	0.32	7.8	52	183	0.65	0.0	02a0fc95	9.5	0.99657	0.052
5.6	0.32	0.33	7.4	25	95	0.49	0.0	547a7679	11.1	0.99268	0.037
7.7	0.46	0.18	3.3	18	143	0.51	0.0	750d58df	10.8	0.99392	0.054
8.8	0.19	0.3	5	34	120	0.47	0.0	1b330d64	11.2	0.99242	0.028
7.7	0.46	0.18	3.3	18	143	0.51	0.0	b8878d47	10.8	0.99392	0.054
8.8	0.27	0.25	5	52	99	0.49	0.0	740446c5	11.4	0.9925	0.024
5.8	0.18	0.28	1.3	9	94	0.52	0.0	317db1b7	11.2	0.99092	0.034
5.8	0.15	0.32	1.2	14	119	0.5	0.0	f0a1b14c	10.2	0.99137	0.037
5.6	0.32	0.33	7.4	25	95	0.49	0.0	39d714bf	11.1	0.99268	0.037
6.1	0.33	0.32	7.8	52	183	0.65	0.0	a7f949c0	9.5	0.99657	0.052
7.1	0.32	0.3	9.9	63	192	0.49	0.0	5c4f3a72	10.2	0.99642	0.041
6.2	0.23	0.35	0.7	24	111	0.43	0.0	1f70a798	11	0.9916	0.051
8.9	0.3	0.35	4.6	32	148	0.45	0.0	66a2feb7	11.5	0.99458	0.032
6	0.14	0.17	5.6	37	127	0.57	0.0	b38b62b4	9.8	0.99373	0.036
6.8	0.24	0.29	9.5	56	157	0.51	0.0	74d40061	10.1	0.99586	0.042
6.7	0.21	0.48	14.8	31	195	0.75	0.0	c2f06c20	8.8	0.99942	0.05
8.9	0.3	0.35	4.6	32	148	0.45	0.0	6e747a97	11.5	0.99458	0.032
6.1	0.3	0.3	2.1	50	163	0.43	0.0	eb499074	12.7	0.9895	0.031
7.2	0.37	0.4	11.6	34	214	0.51	0.0	c4704929	9.8	0.9963	0.032
6.7	0.64	0.3	1.2	18	76	0.6	0.0	cc096c44	12.9	0.9892	0.03
7.2	0.37	0.4	11.6	34	214	0.51	0.0	6a81f5f0	9.8	0.9963	0.032
6.1	0.3	0.3	2.1	50	163	0.43	0.0	80b5f7a4	12.7	0.9895	0.031
7.6	0.28	0.49	20.15	30	145	0.44	0.0	2fd865af	8.5	1.00196	0.06
6.3	0.29	0.28	4.7	28	81	0.56	0.0	efd68b17	12.7	0.99036	0.059
6.2	0.28	0.28	4.3	22	105	0.64	0.0	c1e9087c	13.1	0.989	0.026
7.1	0.18	0.39	14.5	48	156	0.78	0.0	8284dcbb	9.1	0.99947	0.051
6.4	0.32	0.27	4.9	18	122	0.71	0.0	9fbf054d	12.5	0.9916	0.034
7.1	0.17	0.4	14.55	47	156	0.78	0.0	d87e2a71	9.1	0.99945	0.047
7.1	0.17	0.4	14.55	47	156	0.78	0.0	9fe2295d	9.1	0.99945	0.047
5.8	0.24	0.26	10.05	63	162	0.5	0.0	b3fb7e88	11.2	0.99375	0.039
6.4	0.32	0.27	4.9	18	122	0.71	0.0	ec94d8c9	12.5	0.9916	0.034
7.1	0.18	0.39	14.5	48	156	0.78	0.0	e6fb3e24	9.1	0.99947	0.051
7.1	0.17	0.4	14.55	47	156	0.78	0.0	169973bd	9.1	0.99945	0.047
7.1	0.18	0.39	15.25	45	158	0.77	0.0	997fc325	9.1	0.99946	0.047
7.8	0.29	0.29	3.15	41	117	0.35	0.0	cf6932ec	11.5	0.99153	0.044
6.2	0.255	0.27	1.3	30	86	0.59	0.0	f203f6a1	12.9	0.98834	0.037
8.2	0.34	0.29	5.2	19	92	0.39	0.0	8635ddc8	12.5	0.99138	0.076
6.5	0.24	0.28	1.1	26	83	0.33	0.0	9c86b168	12.3	0.98928	0.034
6.9	0.24	0.23	7.1	20	97	0.85	0.0	4977cdd7	11.4	0.99246	0.041
6.7	0.4	0.22	8.8	24	113	0.45	0.0	1024eb24	9.4	0.99576	0.052
6.7	0.3	0.44	18.5	65	224	0.53	0.0	f285a785	9.1	0.99956	0.057
6.7	0.4	0.22	8.8	24	113	0.45	0.0	fffffa4d	9.4	0.99576	0.052
6.8	0.17	0.32	1.4	35	106	0.66	0.0	161f1e60	12	0.99026	0.04
7.1	0.25	0.28	1.2	31	111	0.53	0.0	011e1038	11.1	0.99174	0.04
5.9	0.27	0.27	5	14	97	0.33	0.0	0ef22e46	11.8	0.99058	0.035
6	0.16	0.22	1.6	36	106	0.32	0.0	dfed2d1c	11.4	0.9905	0.042
6.7	0.3	0.44	18.75	65	224	0.53	0.0	e0cf70cd	9.1	0.99956	0.057
6.6	0.15	0.32	6	59	128	0.71	0.0	15c9349d	12.1	0.99192	0.033
7.3	0.34	0.3	9.4	34	178	0.44	0.0	8f3b9570	10.4	0.99554	0.057
6	0.17	0.29	9.7	33	98	0.36	0.0	5af6f7d4	9.2	0.99536	0.044
6.7	0.47	0.29	4.75	29	134	0.46	0.0	fc400e03	13	0.99056	0.034
6.6	0.15	0.32	6	59	128	0.71	0.0	9d25ea2d	12.1	0.99192	0.033
6.6	0.21	0.29	5.35	43	106	0.43	0.0	bafde6d1	11.5	0.99112	0.029
6.6	0.21	0.29	5.35	43	106	0.43	0.0	deb6dd27	11.5	0.99112	0.029
8	0.24	0.48	6.8	13	134	0.7	0.0	840eb6a8	10	0.99616	0.047
5.6	0.34	0.3	6.9	23	89	0.49	0.0	6c9fccf7	11.1	0.99266	0.038
5.8	0.54	0	1.4	40	107	0.35	0.0	af5b09c0	12.4	0.98918	0.033
7.3	0.23	0.24	0.9	29	86	0.38	0.0	6dbb9d6a	12.2	0.98926	0.031
6	0.39	0.13	1.2	60	172	0.52	0.0	bf3b4329	10.6	0.99114	0.042
6.1	0.105	0.31	1.3	55	145	0.41	0.0	a56b512e	11.1	0.9912	0.037
5.8	0.32	0.2	2.6	17	123	0.78	0.0	e68eeb9e	13.9	0.98936	0.027
7.6	0.22	0.28	12	68	143	0.3	0.0	c28af8d4	9.2	0.9983	0.056
6.8	0.19	0.4	9.85	41	103	0.56	0.0	1c922415	10.5	0.99532	0.055
6.7	0.24	0.3	3.85	105	179	0.59	0.0	9d8f0dee	11.3	0.99189	0.042
6.8	0.17	0.34	2	38	111	0.45	0.0	01bd94e0	12.9	0.99	0.04
6.2	0.3	0.31	1.6	40	106	0.39	0.0	74b5ffe3	12.9	0.98914	0.035
6.9	0.29	0.41	7.8	52	171	0.51	0.0	210a63ed	9.6	0.99537	0.046
6.8	0.19	0.34	1.9	41	108	0.45	0.0	9600eac7	12.9	0.99	0.04
6.8	0.17	0.34	2	38	111	0.45	0.0	6a9a5d1e	12.9	0.99	0.04
6.6	0.24	0.27	10.3	54	219	0.45	0.0	c1b52c2a	8.8	0.99742	0.047
6.6	0.16	0.36	1.1	27	93	0.34	0.0	0832df5a	13.2	0.98884	0.031
7.6	0.22	0.28	12	68	143	0.3	0.0	e16402e4	9.2	0.9983	0.056
6.7	0.24	0.3	3.85	105	179	0.59	0.0	7c7e0877	11.3	0.99189	0.042
6.8	0.19	0.4	9.85	41	103	0.56	0.0	ed93ff70	10.5	0.99532	0.055
6.7	0.16	0.36	2	24	131	0.59	0.0	92e77ff7	10.5	0.99284	0.045
6.5	0.3	0.27	4	37	97	0.6	0.0	563a496a	12.6	0.99026	0.038
6.5	0.22	0.19	1.1	36	191	0.5	0.0	df500468	9.5	0.99297	0.064
6.2	0.36	0.45	10.4	22	184	0.56	0.0	ff41f867	9.8	0.99711	0.06
6.2	0.37	0.24	6.1	19	86	0.26	0.0	d3e64f06	13.4	0.98934	0.032
7.6	0.31	0.24	1.8	39	150	0.44	0.0	b4e831ed	11.8	0.9913	0.037
6.2	0.36	0.45	10.4	22	184	0.56	0.0	2edfdb9c	9.8	0.99711	0.06
5.9	0.32	0.28	4.7	34	94	0.57	0.0	52cf8070	13.1	0.98964	0.039
6.5	0.3	0.27	4	37	97	0.6	0.0	5e904750	12.6	0.99026	0.038
5.8	0.22	0.3	1.1	36	131	0.45	0.0	d52e320c	10.4	0.992	0.047
5.4	0.45	0.27	6.4	20	102	0.27	0.0	bedc189c	13.4	0.98944	0.033
6.1	0.36	0.26	8.15	14	88	0.27	0.0	385834e7	13	0.99031	0.035
6.2	0.37	0.24	6.1	19	86	0.26	0.0	2903e3ae	13.4	0.98934	0.032
7.5	0.21	0.32	4.8	39	113	0.52	0.0	1d598ee1	10.2	0.99393	0.056
6.9	0.28	0.33	1.2	16	98	0.39	0.0	8ae6be6d	11.7	0.9904	0.039
6.5	0.22	0.19	1.1	36	191	0.5	0.0	db76ffe2	9.5	0.99297	0.064
7.8	0.2	0.2	1.4	25	83	0.46	0.0	a8bdfeac	11.7	0.99088	0.036
6.7	0.28	0.31	7.4	7	81	0.47	0.0	3afae971	11.4	0.99254	0.041
7.6	0.31	0.24	1.8	39	150	0.44	0.0	56ea4f35	11.8	0.9913	0.037
8	0.2	0.44	1	24	111	0.32	0.0	f7b61ca0	11.2	0.99158	0.057
6	0.28	0.27	15.5	31	134	0.44	0.0	7e651634	13	0.99408	0.036
6	0.28	0.27	15.5	31	134	0.44	0.0	87b60b76	13	0.99408	0.036
6.7	0.24	0.36	8.4	42	123	0.52	0.0	489872a7	10.9	0.99473	0.042
6.3	0.22	0.28	2.4	38	102	0.37	0.0	ec11710c	11.6	0.98998	0.042
6	0.24	0.28	3.95	61	134	0.54	0.0	3393b421	11.3	0.99146	0.038
7.7	0.43	1	19.95	42	164	0.5	0.0	20afaab8	12	0.99742	0.032
6.4	0.3	0.36	2	18	141	0.53	0.0	d677fd4b	10.5	0.99273	0.052
6.1	0.33	0.3	3	30	124	0.4	0.0	0815a3b7	13.1	0.98922	0.036
6	0.28	0.27	15.5	31	134	0.44	0.0	b223c118	13	0.99408	0.036
6.7	0.24	0.36	8.4	42	123	0.52	0.0	f3454ff9	10.9	0.99473	0.042
6.7	0.29	0.45	14.3	30	181	0.57	0.0	1ef6f2ed	9.1	0.99869	0.054
6.9	0.33	0.31	4.2	21	93	0.48	0.0	9e59b93f	13.4	0.9896	0.04
6.5	0.16	0.34	1.4	29	133	0.64	0.0	be8017de	11.5	0.99108	0.029
6	0.2	0.32	3	26	118	0.68	0.0	32483892	11.2	0.99134	0.031
7.5	0.33	0.28	4.9	21	155	0.57	0.0	a7c86221	10.9	0.99385	0.042
7.1	0.36	0.28	2.4	35	115	0.44	0.0	012e5624	13.5	0.98936	0.036
6.7	0.29	0.45	14.3	30	181	0.57	0.0	7e98cb9a	9.1	0.99869	0.054
6.4	0.26	0.25	10.7	66	179	0.55	0.0	ea02fcfd	9.9	0.99606	0.046
7	0.22	0.24	11	75	167	0.56	0.0	1b9016ea	10.5	0.99508	0.041
6.5	0.19	0.28	1.4	22	90	0.51	0.0	7718dc65	11.7	0.99038	0.046
6.3	0.21	0.31	1.2	30	117	0.68	0.0	79552b5e	11	0.99158	0.043
7.9	0.35	0.28	12.9	13	63	0.43	0.0	6bee664f	13	0.9932	0.032
7.7	0.38	0.23	10.8	28	95	0.41	0.0	de7aa59d	13.6	0.99164	0.03
6.8	0.19	0.33	1.3	22	87	0.62	0.0	858a82e4	12.3	0.98987	0.031
7.2	0.33	0.34	2	61	171	0.53	0.0	4e5df8fd	13.3	0.98947	0.044
6.6	0.29	0.29	1.8	38	102	0.42	0.0	d264cadd	13.7	0.98819	0.036
7.5	0.2	0.41	1.2	26	131	0.52	0.0	cd263e11	11.1	0.99133	0.05
6.9	0.33	0.62	7.5	46	132	0.43	0.0	3b438a18	13.4	0.99143	0.038
6	0.23	0.15	9.7	101	207	0.3	0.0	f1d53f34	9.1	0.99571	0.048
5.9	0.23	0.24	3.8	61	152	0.5	0.0	f8b37d23	11.3	0.99139	0.038
6.6	0.32	0.41	7.2	55	178	0.46	0.0	23240ce4	9.4	0.99537	0.048
6	0.23	0.15	9.7	101	207	0.3	0.0	b4e5d83d	9.1	0.99571	0.048
5.3	0.36	0.27	6.3	40	132	0.4	0.0	31a6f625	11.6	0.99186	0.028
5.3	0.36	0.27	6.3	40	132	0.4	0.0	ef9b5d88	11.6	0.99186	0.028
8.9	0.27	0.28	0.8	29	128	0.35	0.0	e80abeab	12.4	0.98984	0.024
7.6	0.23	0.29	8.6	65	146	0.32	0.0	ee0e9255	9.8	0.9963	0.053
6.9	0.75	0.13	6.3	19	50	0.25	0.0	5fdb1a1d	11.1	0.99312	0.036
7.1	0.35	0.27	3.1	28	134	0.38	0.0	ec182232	13.1	0.9897	0.034
7.2	0.31	0.35	7.2	45	178	0.53	0.0	3ab7d66c	9.7	0.9955	0.046
6.4	0.28	0.44	7.1	49	179	0.48	0.0	fd50ded5	9.2	0.99528	0.048
7.2	0.23	0.46	6.4	17	85	0.78	0.0	37aaf52c	11.7	0.99279	0.036
6.6	0.22	0.3	14.7	50	136	0.37	0.0	cb6afbdd	10.6	0.99704	0.045
7.2	0.31	0.35	7.2	45	178	0.53	0.0	0c2d0c01	9.7	0.9955	0.046
6.4	0.28	0.44	7.1	49	179	0.48	0.0	c4e1cd51	9.2	0.99528	0.048
7.2	0.24	0.28	1.9	30	92	0.39	0.0	7283c12e	10.9	0.9914	0.032
6.2	0.27	0.47	1.2	28	105	0.51	0.0	1d4cbabb	10.1	0.99224	0.146
6.5	0.28	0.25	4.8	54	128	0.44	0.0	1f88276d	12.2	0.99074	0.029
7.2	0.27	0.31	1.2	27	80	0.33	0.0	9f5902e8	12.7	0.98892	0.031
7.8	0.28	0.25	3.4	27	99	0.37	0.0	9285b6a7	13	0.98959	0.024
8.1	0.26	0.27	4.3	43	123	0.33	0.0	a86a255b	11.2	0.99212	0.03
6.6	0.23	0.37	8.5	46	153	0.48	0.0	7d97fb1c	9.4	0.99576	0.036
6	0.33	0.2	1.8	49	159	0.53	0.0	fa5fb426	11	0.9919	0.031
6	0.33	0.2	1.8	49	159	0.53	0.0	4fa1518f	11	0.9919	0.031
7.3	0.2	0.29	19.5	69	237	0.48	0.0	7bf5c0f9	9.2	1.00037	0.039
6.6	0.23	0.37	8.5	46	153	0.48	0.0	d3249847	9.4	0.99576	0.036
7.3	0.2	0.29	19.9	69	237	0.48	0.0	eda98e6b	9.2	1.00037	0.039
6.2	0.47	0.19	8.3	24	142	0.45	0.0	3d924b87	12.3	0.992	0.029
6	0.33	0.2	1.8	49	159	0.53	0.0	67fba33d	11	0.9919	0.031
7.2	0.14	0.32	1.1	48	116	0.67	0.0	0a2648d0	10	0.99218	0.022
5.7	0.22	0.22	16.65	39	110	0.48	0.0	3e3647bb	9	0.99855	0.044
5.7	0.22	0.22	16.65	39	110	0.48	0.0	abc9d2bd	9	0.99855	0.044
5.7	0.22	0.22	16.65	39	110	0.48	0.0	9a08e8d3	9	0.99855	0.044
8.1	0.2	0.28	0.9	49	87	0.36	0.0	5993c829	11.1	0.99062	0.023
5.8	0.14	0.15	6.1	27	123	0.6	0.0	91ea8cd1	9.9	0.99362	0.042
4.8	0.21	0.21	10.2	17	112	0.48	0.0	65b460cd	12.2	0.99324	0.037
8.1	0.2	0.28	0.9	49	87	0.36	0.0	05d34816	11.1	0.99062	0.023
5.7	0.22	0.22	16.65	39	110	0.48	0.0	03cb2312	9	0.99855	0.044
7.5	0.34	0.24	3.85	5	34	0.36	0.0	7c552c1a	11.8	0.99098	0.031
6.6	0.64	0.28	4.4	19	78	0.62	0.0	4eddff46	12.9	0.99036	0.032
7	0.48	0.12	4.5	23	86	0.35	0.0	fef81391	9	0.99398	0.05
7.6	0.37	0.34	3.2	42	162	0.33	0.0	a94b19e0	12.4	0.9903	0.028
7	0.48	0.12	4.5	23	86	0.35	0.0	eb341955	9	0.99398	0.05
6.6	0.64	0.28	4.4	19	78	0.62	0.0	707dcf50	12.9	0.99036	0.032
8	0.25	0.27	9.7	15	85	0.36	0.0	9ac10cca	11.2	0.99406	0.036
7.6	0.38	0.28	4.2	7	112	0.41	0.0	ee2470c2	12.6	0.9906	0.029
6.9	0.26	0.27	4.2	20	80	0.39	0.0	79cab898	11.5	0.99089	0.031
7.8	0.15	0.34	1.1	31	93	0.72	0.0	aa552b98	11.3	0.99096	0.035
8	0.25	0.27	9.7	15	85	0.36	0.0	88064e76	11.2	0.99406	0.036
6.9	0.26	0.27	4.2	20	80	0.39	0.0	f73dfe95	11.5	0.99089	0.031
5.9	0.655	0	5.6	8	31	0.51	0.0	be1af92b	10.5	0.9936	0.033
7.6	0.38	0.28	4.2	7	112	0.41	0.0	bbf97df1	12.6	0.9906	0.029
7.8	0.31	0.4	1.6	20	87	0.48	0.0	76bbc4a1	11.9	0.9911	0.027
8.1	0.17	0.21	1.6	24	119	0.52	0.0	128277ef	10.1	0.99396	0.036
6.8	0.18	0.28	1.1	32	112	0.45	0.0	d2eb17e8	11	0.99089	0.027
7.4	0.28	0.36	14.6	35	161	0.56	0.0	2e059c52	10.6	0.9968	0.048
7.3	0.23	0.27	2.6	39	120	0.59	0.0	b95779e7	11.3	0.99138	0.035
6.7	0.22	0.22	1.2	5	124	0.37	0.0	fbdd52c4	11.2	0.99098	0.038
7.4	0.25	0.28	7.25	14	78	0.37	0.0	ba02a093	11.5	0.99238	0.028
7.5	0.3	0.21	6.55	33	143	0.35	0.0	9c8a575e	11.1	0.99244	0.026
7.2	0.26	0.24	7	19	130	0.49	0.0	6de39cd6	12.8	0.99176	0.023
6.3	0.32	0.32	1.5	12	76	0.46	0.0	c26f13dd	12.3	0.98993	0.037
7.7	0.24	0.3	1.4	15	102	0.53	0.0	0111c0d3	10.4	0.9929	0.041
7.4	0.25	0.28	7.25	14	78	0.37	0.0	df8b2df5	11.5	0.99238	0.028
7	0.24	0.35	1	42	104	0.37	0.0	5f0069ce	11.7	0.98988	0.032
5.8	0.28	0.28	4.2	52	158	0.44	0.0	8e764b57	10.7	0.992	0.044
6.8	0.19	0.71	17.5	21	114	0.5	0.0	aa1936e1	9.5	0.99784	0.042
6.8	0.19	0.71	17.5	21	114	0.5	0.0	e5fa010d	9.5	0.99784	0.042
6.8	0.19	0.71	17.5	21	114	0.5	0.0	b4b53114	9.5	0.99784	0.042
6.6	0.19	0.35	1.5	37	107	0.68	0.0	6b63b55c	12	0.99006	0.037
6.4	0.28	0.36	1.3	28	186	0.45	0.0	c0f6e6ed	10.8	0.99211	0.053
5.6	0.28	0.27	3.9	52	158	0.44	0.0	74378295	10.7	0.99202	0.043
5.6	0.28	0.28	4.2	52	158	0.44	0.0	148a83a5	10.7	0.992	0.044
6.8	0.19	0.32	7.6	37	107	0.44	0.0	d0408b9a	10.7	0.99332	0.049
7.2	0.16	0.29	1	40	123	0.4	0.0	140e1b63	12.1	0.98958	0.031
6.6	0.17	0.28	1.1	55	108	0.52	0.0	3b32f893	11.9	0.98939	0.034
6.6	0.19	0.28	11.8	54	137	0.37	0.0	8f0b1118	10.8	0.99492	0.042
5.8	0.2	0.24	1.4	65	169	0.56	0.0	c2389109	12.3	0.99043	0.033
6.6	0.39	0.38	9.7	49	226	0.57	0.0	af6eab6d	9.4	0.99787	0.053
6.8	0.12	0.3	12.9	32	88	0.35	0.0	b2747f94	9.9	0.99654	0.049
6.6	0.295	0.24	1.6	29	140	0.61	0.0	6c90e9a2	10.4	0.99304	0.039
6.6	0.26	0.24	7.2	28	137	0.6	0.0	764acfc3	10.4	0.9952	0.038
7	0.32	0.27	7.1	37	122	0.6	0.0	fc35c52b	12.6	0.99165	0.027
7.4	0.36	0.23	1.9	31	69	0.36	0.0	80c9370d	12.5	0.9892	0.017
6.7	0.35	0.48	8.8	35	167	0.47	0.0	37b5bdb4	9.4	0.99628	0.056
6.4	0.38	0.24	7.2	41	151	0.6	0.0	8e4e4d22	9.2	0.99604	0.047
6.8	0.14	0.18	1.4	30	90	0.54	0.0	cedb0da8	11.2	0.99164	0.047
7	0.16	0.25	14.3	27	149	0.46	0.0	8936a755	9.2	0.998	0.044
7	0.16	0.25	14.3	27	149	0.46	0.0	d68fa925	9.2	0.998	0.044
6.7	0.35	0.48	8.8	35	167	0.47	0.0	50d4e02c	9.4	0.99628	0.056
6.8	0.14	0.18	1.4	30	90	0.54	0.0	22d1225d	11.2	0.99164	0.047
6.8	0.16	0.18	1.8	31	114	0.55	0.0	2b55cfcb	10.8	0.99226	0.046
7	0.16	0.25	14.3	27	149	0.46	0.0	9fe3d830	9.2	0.998	0.044
6.4	0.38	0.24	7.2	41	151	0.6	0.0	3ea5ed55	9.2	0.99604	0.047
7.2	0.24	0.3	1.2	11	95	0.36	0.0	96eb45bc	12.5	0.98914	0.037
7.7	0.32	0.61	11.8	66	188	0.54	0.0	cdda1d55	9.3	0.99794	0.041
7	0.29	0.33	0.9	20	117	0.5	0.0	805d5ead	11.4	0.99048	0.041
7.1	0.27	0.24	12.6	48	118	0.56	0.0	6d41c203	10	0.99726	0.044
6.8	0.45	0.28	26.05	27	122	0.42	0.0	be3d0f70	10.6	1.00295	0.031
6.3	0.2	0.26	4.7	108	168	0.75	0.0	9bb616a1	10.7	0.99278	0.04
7.1	0.27	0.24	12.6	48	118	0.56	0.0	ba8d9d5b	10	0.99726	0.044
7.2	0.24	0.3	1.2	11	95	0.36	0.0	2f42bb9f	12.5	0.98914	0.037
6.8	0.45	0.28	26.05	27	122	0.42	0.0	1912341f	10.6	1.00295	0.031
6.6	0.36	0.28	6.1	12	93	0.27	0.0	3bb98fde	12.8	0.99054	0.029
7.7	0.32	0.61	11.8	66	188	0.54	0.0	1bf4a60a	9.3	0.99794	0.041
7	0.29	0.33	0.9	20	117	0.5	0.0	b55b79df	11.4	0.99048	0.041
6.4	0.37	0.2	5.6	61	183	0.43	0.0	52d77511	9.5	0.99459	0.117
6.4	0.38	0.2	5.3	57	181	0.43	0.0	ded6bbe2	9.5	0.99459	0.117
6.4	0.36	0.2	5.7	61	172	0.43	0.0	d0515ef5	9.5	0.9946	0.118
6.6	0.3	0.25	8	21	124	0.38	0.0	42b3e857	10.8	0.99362	0.036
6.6	0.3	0.25	8	21	124	0.38	0.0	20268baf	10.8	0.99362	0.036
6.5	0.21	0.51	17.6	34	125	0.47	0.0	5a932c82	8.8	0.99966	0.045
6.6	0.3	0.25	8	21	124	0.38	0.0	a0a92e3c	10.8	0.99362	0.036
7.6	0.31	0.27	8.8	57	156	0.38	0.0	98cb4984	11	0.99442	0.021
5.8	0.58	0	1.5	33	96	0.38	0.0	85ce28cc	12.4	0.98918	0.02
6.5	0.26	0.39	1.4	12	66	0.75	0.0	c41ef495	11.3	0.99089	0.02
8.7	0.3	0.34	4.8	23	127	0.49	0.0	6d95a6fb	11.2	0.99474	0.018
6.4	0.29	0.32	2.4	34	89	0.66	0.0	e093b252	12.5	0.99008	0.014
6.7	0.13	0.32	3.7	32	99	0.44	0.0	2281e7d3	10	0.99348	0.017
6.8	0.19	0.33	4.9	42	130	0.56	0.0	23b3de91	11	0.99283	0.047
6	0.25	0.4	5.7	56	152	0.88	0.0	28a28fd9	10.5	0.99398	0.052
6	0.25	0.4	5.7	56	152	0.88	0.0	248a2963	10.5	0.99398	0.052
6.8	0.19	0.33	4.9	42	130	0.56	0.0	0705f785	11	0.99283	0.047
6.4	0.24	0.23	2	30	133	0.54	0.0	c7a3190c	11.4	0.9908	0.046
5.9	0.18	0.28	5.1	50	139	0.44	0.0	ce96639e	11.3	0.99165	0.039
7.2	0.33	0.22	4.5	10	73	0.52	0.0	8136b5fc	12.2	0.99076	0.031
6.4	0.29	0.24	3.2	31	95	0.66	0.0	5bede895	12.6	0.98942	0.037
7.3	0.31	0.25	6.65	30	138	0.37	0.0	fbf87a75	11.1	0.99244	0.032
7	0.29	0.37	1.6	34	126	0.47	0.0	e8e81115	12.3	0.99058	0.035
6.9	0.19	0.6	4	6	122	0.59	0.0	3cec6b75	10.4	0.99255	0.037
6.3	0.32	0.17	17.75	51	190	0.48	0.0	6fe25b4c	8.8	0.99916	0.06
6.6	0.085	0.33	1.4	17	109	0.61	0.0	f54fcd06	9.5	0.99306	0.036
6.3	0.32	0.17	17.75	51	190	0.48	0.0	684996b1	8.8	0.99916	0.06
6.8	0.18	0.32	7.2	17	109	0.44	0.0	35ca0053	10.4	0.99498	0.047
6.8	0.52	0.26	5.7	27	130	0.27	0.0	543d79d0	13	0.99	0.038
7.1	0.28	0.28	8.5	25	191	0.46	0.0	50f63fa8	12.2	0.99338	0.03
5.7	0.15	0.47	11.4	49	128	0.34	0.0	d9354cd2	10.5	0.99456	0.035
5.8	0.275	0.3	5.4	41	149	0.42	0.0	efa0e7a1	10.8	0.9926	0.043
5.4	0.53	0.16	2.7	34	128	0.53	0.0	3b9b5f83	13.2	0.98856	0.036
5.8	0.32	0.28	4.3	46	115	0.57	0.0	890b125b	13	0.98946	0.032
6.7	0.22	0.39	1.2	26	152	0.47	0.0	ad90abed	10	0.99346	0.049
6.1	0.6	0.12	1.8	11	76	0.48	0.0	8b8154ee	10.4	0.99268	0.05
6.5	0.26	0.31	1.3	59	145	0.54	0.0	676ba8c8	12.4	0.98944	0.034
5	0.29	0.54	5.7	54	155	0.34	0.0	54c15038	12.9	0.98976	0.035
5.4	0.53	0.16	2.7	34	128	0.53	0.0	e6752e51	13.2	0.98856	0.036
6.8	0.21	0.26	11.7	61	152	0.56	0.0	403cc381	10.5	0.99523	0.038
5.8	0.32	0.28	4.3	46	115	0.57	0.0	83449652	13	0.98946	0.032
6.5	0.27	0.26	11	2	82	0.36	0.0	588bde11	11.2	0.99402	0.03
5.9	0.37	0.32	1.6	41	102	0.55	0.0	d9461c9a	12.7	0.98916	0.029
6.2	0.21	0.18	11.6	61	155	0.52	0.0	6d13f4ac	9.4	0.99655	0.044
6.8	0.3	0.29	6.2	29	95	0.32	0.0	1bf3b161	12.9	0.99071	0.025
7.3	0.41	0.29	1.8	26	74	0.35	0.0	9be28631	13	0.98889	0.032
5.4	0.3	0.3	1.2	25	93	0.4	0.0	3bf9ff6e	13.6	0.98742	0.029
6.6	0.34	0.2	1	26	112	0.55	0.0	940834c1	9.1	0.99336	0.053
5.6	0.25	0.19	2.4	42	166	0.43	0.0	7d375d08	10.4	0.992	0.049
5.3	0.3	0.3	1.2	25	93	0.4	0.0	3d86e16c	13.6	0.98742	0.029
6.9	0.58	0.58	8.2	29	169	0.44	0.0	ee0c8325	12.2	0.99275	0.032
7.2	0.23	0.25	18.8	19	111	0.51	0.0	2cad1ad6	8.7	1.00044	0.085
7.1	0.2	0.27	9.6	19	105	0.37	0.0	f3d82171	10.5	0.99444	0.037
6.8	0.15	0.41	12.9	79.5	183	0.78	0.0	39f9d83f	10.2	0.99742	0.044
7	0.22	0.26	9.2	37	122	0.34	0.0	4b8ee2f8	12.5	0.99228	0.027
6.4	0.16	0.44	1.2	39	122	0.75	0.0	8fb9a3a2	11.3	0.99058	0.051
6.8	0.15	0.41	12.9	79.5	183	0.78	0.0	7f7cf4c1	10.2	0.99742	0.044
6.8	0.31	0.3	8	33	122	0.63	0.0	dce9a872	12.6	0.99164	0.028
6.8	0.15	0.41	12.9	79.5	183	0.78	0.0	b1134945	10.2	0.99742	0.044
7.6	0.3	0.37	1.6	27	177	0.5	0.0	73b29bae	9.8	0.99438	0.087
6	0.16	0.27	12	39	98	0.34	0.0	2da63945	10.8	0.99402	0.03
7.1	0.21	0.35	2.5	41	186	0.56	0.0	37a4f211	12.5	0.99128	0.04
7	0.22	0.26	9.2	37	122	0.34	0.0	f780a037	12.5	0.99228	0.027
5.6	0.21	0.24	4.4	37	150	0.31	0.0	c4bc1d5c	11.5	0.991	0.027
7.4	0.22	0.26	8.8	23	112	0.41	0.0	99e9b70c	11.4	0.9931	0.027
7.1	0.2	0.27	9.6	19	105	0.37	0.0	68a8aec2	10.5	0.99444	0.037
6.8	0.31	0.3	8	33	122	0.63	0.0	c8d1ebc7	12.6	0.99164	0.028
7.2	0.23	0.25	18.8	19	111	0.51	0.0	73b27b5d	8.7	1.00044	0.085
6.4	0.15	0.4	1.3	61	146	0.68	0.0	3005278c	11	0.99112	0.053
6.4	0.16	0.44	1.2	39	122	0.75	0.0	dfbd74af	11.3	0.99058	0.051
6.8	0.15	0.41	12.9	79.5	182	0.78	0.0	f1eab851	10.2	0.99742	0.044
6.3	0.22	0.34	1.2	32	96	0.74	0.0	33201721	11.6	0.98961	0.036
7.6	0.3	0.37	1.6	27	177	0.5	0.0	e0612b11	9.8	0.99438	0.087
7	0.3	0.27	1.5	24	145	0.52	0.0	953b9598	10.1	0.99344	0.076
6.6	0.26	0.22	18.15	23	139	0.5	0.0	840f1d4f	9.2	0.99904	0.05
7.5	0.24	0.31	13.1	26	180	0.53	0.0	64eed698	9.1	0.99884	0.05
7.5	0.24	0.31	13.1	26	180	0.53	0.0	a71b8e29	9.1	0.99884	0.05
7.5	0.24	0.31	13.1	26	180	0.53	0.0	e11421a8	9.1	0.99884	0.05
7.5	0.24	0.31	13.1	26	180	0.53	0.0	eab7ab3f	9.1	0.99884	0.05
6.6	0.15	0.34	1	45	79	0.5	0.0	c6c96b60	11.7	0.98949	0.037
6.7	0.34	0.43	1.6	29	114	0.44	0.0	45fbe72c	12.6	0.99014	0.041
7.7	0.35	0.46	11.8	61	183	0.47	0.0	1b0ccc89	9	0.99786	0.088
6.7	0.31	0.09	1.4	53	141	0.44	0.0	987a6359	10.1	0.99206	0.039
4.7	0.67	0.09	1	5	9	0.34	0.0	00478fab	13.6	0.98722	0.02
7.5	0.24	0.31	13.1	26	180	0.53	0.0	4bf0c5d4	9.1	0.99884	0.05
6.3	0.2	0.18	10.6	57	159	0.54	0.0	d659e088	9.2	0.99666	0.045
6.6	0.28	0.23	10.4	45	190	0.51	0.0	4f677d3c	8.8	0.99754	0.049
8.5	0.18	0.3	1.1	34	95	0.36	0.0	7b5f247a	10	0.99272	0.028
6.5	0.35	0.38	7.4	20	196	0.48	0.0	0e89ddba	9.1	0.99712	0.036
6.8	0.22	0.26	1.2	29	182	0.35	0.0	7a5042a0	11.2	0.99104	0.041
6.3	0.18	0.24	3.4	20	119	0.52	0.0	a8dcfed1	9.2	0.99373	0.053
6.6	0.26	0.22	18.15	23	139	0.5	0.0	946feb8f	9.2	0.99904	0.05
6.6	0.3	0.45	8	54	200	0.48	0.0	3d112b12	9.5	0.9956	0.038
6.3	0.34	0.27	2.5	40	152	0.6	0.0	079fa322	11.9	0.99095	0.024
7.7	0.3	0.23	2	28	138	0.62	0.0	5255517e	9.8	0.99382	0.068
7.7	0.31	0.23	2	29	134	0.62	0.0	1f311b1c	9.8	0.99382	0.069
5.7	0.265	0.28	6.9	46	150	0.44	0.0	7bc6da4a	10.8	0.99299	0.036
5.4	0.255	0.33	1.2	29	122	0.66	0.0	84e173ba	11.3	0.99048	0.051
6.6	0.26	0.28	9.4	13	121	0.34	0.0	75d91f76	12.1	0.99254	0.028
4.8	0.17	0.28	2.9	22	111	0.34	0.0	45546a03	11.3	0.9902	0.03
5.7	0.265	0.28	6.9	46	150	0.44	0.0	c6154373	10.8	0.99299	0.036
6.2	0.2	0.33	5.4	21	75	0.41	0.0	c33b4447	13.5	0.99012	0.028
7.5	0.28	0.41	1.3	11	126	0.45	0.0	5622e0a8	10.3	0.99293	0.044
6.2	0.22	0.2	20.8	58	184	0.53	0.0	536c3e87	9	1.00022	0.035
7	0.34	0.26	10.3	51	166	0.35	0.0	6cfa3808	11.6	0.99382	0.041
7.5	0.28	0.41	1.3	11	126	0.45	0.0	b2f44f86	10.3	0.99293	0.044
6.5	0.19	0.34	1.6	39	116	0.68	0.0	82b86dfd	12.5	0.98954	0.029
6	0.21	0.29	13.1	28	125	0.45	0.0	9bee7b36	8.6	0.99936	0.042
6.1	0.22	0.46	1.8	34	74	0.33	0.0	b4175736	13.4	0.9884	0.16
6.5	0.32	0.48	8	18	88	0.79	0.0	8eae6333	12.7	0.99144	0.026
7.1	0.21	0.72	1.6	65	120	0.51	0.0	267ff1ae	9.2	0.99324	0.167
5.6	0.26	0.18	1.4	18	135	0.35	0.0	5ec8ab32	10.2	0.99174	0.034
7	0.15	0.28	14.7	29	149	0.39	0.0	d759c0c8	9	0.99792	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	82045d32	9	0.99792	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	90347e02	9	0.99792	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	efe98448	9	0.99792	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	9d4d1cf8	9	0.99792	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	38d76e79	9	0.99792	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	5c486ee0	9	0.99792	0.051
7.4	0.27	0.28	1.8	45	121	0.4	0.0	98eaaa68	11.9	0.99043	0.04
6.8	0.22	0.3	10.6	67	194	0.42	0.0	bbd54d82	9	0.99654	0.07
6.2	0.24	0.25	12.5	47	134	0.51	0.0	0d933e61	9	0.99758	0.055
6.3	0.28	0.29	6.8	40	143	0.59	0.0	0db40e41	11	0.99374	0.051
7	0.15	0.28	14.7	29	149	0.39	0.0	40b09373	9	0.99792	0.051
5.5	0.17	0.23	2.9	10	108	0.5	0.0	c1772e4e	10	0.99243	0.039
6.5	0.26	0.34	1.4	25	184	0.46	0.0	2a794048	10.7	0.99216	0.04
6.6	0.27	0.33	1.4	24	183	0.46	0.0	bd0e715d	10.7	0.99215	0.042
5.4	0.46	0.15	2.1	29	130	0.77	0.0	04bfda1d	13.4	0.98953	0.026
7.8	0.19	0.32	7.4	47	124	0.39	0.0	b3a28048	11	0.99278	0.015
5.5	0.17	0.23	2.9	10	108	0.5	0.0	c99ea290	10	0.99243	0.039
6.5	0.26	0.34	1.4	25	184	0.46	0.0	f76f13d5	10.7	0.99216	0.04
6.6	0.27	0.33	1.4	24	183	0.46	0.0	a1f94d47	10.7	0.99215	0.042
7.8	0.19	0.32	7.4	47	124	0.39	0.0	2982a8e4	11	0.99278	0.015
7.8	0.2	0.32	5	31	101	0.39	0.0	ec486ddb	11	0.99186	0.016
6.1	0.17	0.28	2.5	22	98	0.37	0.0	9e564c16	11.1	0.99072	0.028
7.4	0.2	0.35	6.1	10	40	0.52	0.0	919937df	10.9	0.99244	0.025
6.7	0.39	0.24	2.7	22	80	0.37	0.0	cad6f1f2	11.5	0.99084	0.017
5.4	0.46	0.15	2.1	29	130	0.77	0.0	7756ab09	13.4	0.98953	0.026
6.9	0.4	0.17	12.9	59	186	0.49	0.0	ad26a5f7	9.4	0.99754	0.033
6.9	0.4	0.17	12.9	59	186	0.49	0.0	7f1bfeaa	9.4	0.99754	0.033
6.9	0.4	0.17	12.9	59	186	0.49	0.0	c7d35fda	9.4	0.99754	0.033
6.3	0.24	0.29	13.7	53	134	0.38	0.0	502949d1	10.6	0.99567	0.035
6.9	0.4	0.17	12.9	59	186	0.49	0.0	c77cd25b	9.4	0.99754	0.033
7.4	0.27	0.31	2.4	15	143	0.65	0.0	e0a39a02	12	0.99094	0.014
6.1	0.27	0.28	9.8	61	125	0.42	0.0	9a7d8037	10.2	0.99532	0.042
6.3	0.24	0.29	13.7	53	134	0.38	0.0	944957c4	10.6	0.99567	0.035
5	0.61	0.12	1.3	65	100	0.37	0.0	51c4a0db	13.5	0.9874	0.009
6.7	0.42	0.39	12.1	61	248	0.58	0.0	db4f8f53	9.7	0.99794	0.04
6.5	0.33	0.28	6.1	41	103	0.32	0.0	c1b7b93b	12.2	0.99122	0.018
6.9	0.33	0.31	7.7	29	135	0.57	0.0	2a5c6edb	12.3	0.99226	0.04
6.5	0.33	0.28	6.1	41	103	0.32	0.0	3c54dccb	12.2	0.99122	0.018
6.3	0.15	0.3	1.4	38	100	0.57	0.0	f3bb5905	11.4	0.99099	0.022
6.5	0.32	0.45	7.7	31	97	0.7	0.0	c0fa2689	12.7	0.99134	0.022
6.7	0.42	0.39	12.1	61	248	0.58	0.0	3d49938c	9.7	0.99794	0.04
7.4	0.25	0.29	6.8	31	113	0.29	0.0	1cf09466	10.8	0.99338	0.02
7.6	0.27	0.3	9.2	23	96	0.29	0.0	ecb4ea32	11	0.9938	0.018
6.4	0.27	0.45	8.3	52	196	0.48	0.0	36bdaff1	9.5	0.9955	0.05
6.5	0.25	0.27	17.4	29	140	0.49	0.0	46b55478	10.1	0.99776	0.064
5.6	0.19	0.31	2.7	11	100	0.4	0.0	4bc65542	13.2	0.98964	0.027
7.4	0.29	0.48	12.8	61.5	182	0.34	0.0	39adb3f3	8.8	0.99808	0.037
6.4	0.34	0.44	8.2	54	201	0.48	0.0	614a4fd7	9.5	0.99551	0.043
6.6	0.27	0.52	8.1	53	202	0.48	0.0	b23e8ebc	9.5	0.99548	0.044
6.6	0.26	0.52	8.2	52	191	0.47	0.0	16e17ef1	9.5	0.99541	0.047
6.4	0.27	0.45	8.3	52	196	0.48	0.0	5321acd9	9.5	0.9955	0.05
6.5	0.26	0.5	8	46	197	0.47	0.0	84008b60	9.5	0.99536	0.051
6.8	0.25	0.3	11.8	53	133	0.58	0.0	68e533da	10.4	0.99524	0.043
6.3	0.32	0.26	12	63	170	0.55	0.0	796c359b	9.9	0.9961	0.049
5.5	0.24	0.45	1.7	22	113	0.48	0.0	aa72a71a	10	0.99224	0.046
6.5	0.25	0.27	17.4	29	140	0.49	0.0	97ee32ab	10.1	0.99776	0.064
6.6	0.13	0.29	13.9	33	95	0.39	0.0	96402dbc	9.4	0.99702	0.056
7	0.39	0.21	10.7	13	91	0.47	0.0	2e005aa1	9.3	0.99657	0.098
7.9	0.21	0.39	2	21	138	0.52	0.0	d30f7a9d	10.9	0.99176	0.057
7	0.3	0.28	2.2	21	177	0.57	0.0	e86ec09d	11.4	0.99166	0.042
8.1	0.2	0.3	1.3	7	49	0.73	0.0	2ca634c8	10.3	0.99242	0.036
8.3	0.18	0.3	1.1	20	57	0.51	0.0	a351f2df	11	0.99109	0.033
7.9	0.21	0.39	2	21	138	0.52	0.0	ede8e29d	10.9	0.99176	0.057
7.2	0.17	0.34	6.4	16	111	0.4	0.0	0beffeb2	10.8	0.99278	0.042
8.1	0.2	0.3	1.3	7	49	0.73	0.0	f51cc082	10.3	0.99242	0.036
8.3	0.18	0.3	1.1	20	57	0.51	0.0	7a536cef	11	0.99109	0.033
7	0.39	0.21	10.7	13	91	0.47	0.0	73a10773	9.3	0.99657	0.098
6.8	0.21	0.62	6.4	7	113	0.59	0.0	d643ab65	10.2	0.99358	0.041
6.9	0.21	0.62	6.3	7	109	0.59	0.0	c6cc9bff	10.2	0.99358	0.042
7.2	0.17	0.34	6.4	16	111	0.4	0.0	387612e4	10.8	0.99278	0.042
6.8	0.26	0.34	15.1	42	162	0.52	0.0	e2845c5c	10.5	0.99705	0.06
7.2	0.28	0.38	2	23	156	0.52	0.0	79e199de	11.1	0.9912	0.052
7.9	0.21	0.39	2	21	138	0.52	0.0	37803609	10.9	0.99176	0.057
7	0.3	0.28	2.2	21	177	0.57	0.0	7a29fb1d	11.4	0.99166	0.042
7.4	0.34	0.28	12.1	31	149	0.49	0.0	dd77c78a	10.3	0.99677	0.049
6.3	0.43	0.32	8.8	18	106	0.33	0.0	df6f1be9	12.9	0.99172	0.042
6.8	0.41	0.3	8.8	28	131	0.59	0.0	4add50b8	9.9	0.9953	0.045
6.3	0.4	0.24	5.1	43	131	0.44	0.0	7c27549e	11.3	0.99186	0.036
5.1	0.35	0.26	6.8	36	120	0.4	0.0	595de578	11.5	0.99188	0.034
5.1	0.35	0.26	6.8	36	120	0.4	0.0	fe43747d	11.5	0.99188	0.034
6.3	0.3	0.2	3.7	34	132	0.38	0.0	631dfd66	10.7	0.99158	0.039
6.9	0.28	0.28	12.2	52	139	0.56	0.0	40b39fb9	10.4	0.99522	0.042
7	0.33	0.28	5.7	39	204	0.64	0.0	a2f06650	12.5	0.99176	0.033
6.7	0.26	0.49	8.1	48	197	0.48	0.0	88c92950	9.5	0.99558	0.052
7.3	0.24	0.3	2.5	31	104	0.56	0.0	311cabc2	11.3	0.9911	0.042
6.7	0.46	0.21	4	12	88	0.54	0.0	840c3189	13	0.99016	0.034
5.1	0.35	0.26	6.8	36	120	0.4	0.0	edd816d8	11.5	0.99188	0.034
5.1	0.23	0.18	1	13	99	0.39	0.0	0840ad96	11.5	0.98956	0.053
6.3	0.4	0.24	5.1	43	131	0.44	0.0	efbc5055	11.3	0.99186	0.036
7.1	0.44	0.23	5.8	24	100	0.57	0.0	6f672092	13.2	0.99062	0.035
4.8	0.26	0.23	10.6	23	111	0.28	0.0	759e2f17	11.5	0.99274	0.034
6.8	0.31	0.19	3.5	30	130	0.44	0.0	46e3f147	9.6	0.993	0.086
6.8	0.31	0.19	3.5	30	130	0.44	0.0	5c96f013	9.6	0.993	0.086
7	0.15	0.29	16.4	45	110	0.37	0.0	ce6a76c4	9.7	0.9978	0.058
6.5	0.41	0.22	4.8	49	142	0.62	0.0	c7fcbed0	9.2	0.9946	0.052
6.2	0.31	0.23	3.3	34	113	0.48	0.0	5df5101d	8.4	0.99429	0.052
8	0.27	0.33	1.2	41	103	0.45	0.0	1b3bad5a	12.4	0.99002	0.05
8	0.27	0.33	1.2	41	103	0.45	0.0	69e0b8db	12.4	0.99002	0.05
6.5	0.41	0.22	4.8	49	142	0.62	0.0	286ee82f	9.2	0.9946	0.052
6.2	0.31	0.23	3.3	34	113	0.48	0.0	caeb1977	8.4	0.99429	0.052
6.7	0.37	0.25	2.5	24	84	0.36	0.0	aa0a301b	11.7	0.9909	0.028
6.6	0.21	0.5	8.7	41	191	0.56	0.0	7d63d65f	11	0.99294	0.036
7.5	0.26	0.31	1.6	36	109	0.43	0.0	e05fc576	11.9	0.99044	0.032
7.5	0.34	0.28	4	46	100	0.5	0.0	23a82c89	13.2	0.98958	0.028
6.7	0.37	0.25	2.5	24	84	0.36	0.0	26b0117d	11.7	0.9909	0.028
6.4	0.32	0.23	16.2	36	176	0.54	0.0	ea6e3d90	9.1	0.9986	0.055
6.7	0.24	0.32	9	20	109	0.35	0.0	a6e8a81c	12.6	0.99262	0.023
6.4	0.32	0.23	16.2	36	176	0.54	0.0	af98af6d	9.1	0.9986	0.055
7.1	0.39	0.79	1.4	23	90	0.46	0.0	07c31d47	10.5	0.99212	0.194
8.2	0.31	0.43	7	18	87	0.64	0.0	986c3018	10.6	0.99628	0.047
6.7	0.24	0.32	9	20	109	0.35	0.0	560777ed	12.6	0.99262	0.023
5.9	0.17	0.29	3.1	32	123	0.33	0.0	411b7fa5	13.7	0.98913	0.03
5.9	0.2	0.23	1.5	38	93	0.49	0.0	f49758e8	12	0.99021	0.037
6.6	0.32	0.26	4.6	26	120	0.73	0.0	fc686830	12.5	0.99198	0.031
5.9	0.12	0.27	4.8	40	110	0.68	0.0	e8485b0e	12.1	0.99226	0.03
5.9	0.18	0.29	4.6	68	137	0.38	0.0	4bdefd5e	11.3	0.99159	0.032
5.9	0.2	0.23	1.5	38	93	0.49	0.0	7fbf6a80	12	0.99021	0.037
5.4	0.17	0.27	2.7	28	104	0.55	0.0	1d57785d	10.3	0.99224	0.049
6.1	0.21	0.3	6.3	47	136	0.31	0.0	26376514	12.7	0.99068	0.039
7.3	0.25	0.26	7.2	52	207	0.37	0.0	eabd1a02	9.2	0.99587	0.048
7.3	0.25	0.26	7.2	52	207	0.37	0.0	a1346513	9.2	0.99587	0.048
6.2	0.22	0.3	12.4	108	152	0.47	0.0	831114c3	9.5	0.99728	0.054
6.5	0.27	0.19	6.6	98	175	0.34	0.0	81f0ed56	10.1	0.99364	0.045
6.5	0.27	0.19	6.6	98	175	0.34	0.0	226ea4bf	10.1	0.99364	0.045
6.6	0.39	0.22	4	17	98	0.53	0.0	4a1a93e1	13	0.99018	0.038
6	0.31	0.38	4.8	41	101	0.56	0.0	4ce9bc04	13.1	0.98968	0.04
8.4	0.23	0.32	1.3	59	113	0.55	0.0	2ceff0bf	11	0.99178	0.048
7.3	0.25	0.26	7.2	52	207	0.37	0.0	ca8fba2f	9.2	0.99587	0.048
6	0.22	0.25	11.1	112	177	0.36	0.0	5976cb49	9.4	0.9961	0.056
6.2	0.22	0.3	12.4	108	152	0.47	0.0	caff19dc	9.5	0.99728	0.054
6.1	0.23	0.27	9.8	74	134	0.4	0.0	8355c4d9	10.2	0.99534	0.055
6.5	0.27	0.19	6.6	98	175	0.34	0.0	47db792f	10.1	0.99364	0.045
7.3	0.36	0.54	13.3	63	193	0.49	0.0	552371f8	8.6	0.99864	0.054
7.6	0.37	0.51	11.7	58	181	0.51	0.0	4eefd532	9	0.99776	0.094
6.7	0.26	0.51	8	50	194	0.5	0.0	2f153e90	9.6	0.99545	0.062
7.4	0.22	0.27	1.6	45	98	0.44	0.0	e2dcfa01	9.9	0.99299	0.057
6.1	0.22	0.28	16.55	54	135	0.38	0.0	5b75104f	10.5	0.99665	0.059
7.1	0.28	0.31	1.5	20	98	0.5	0.0	5955bf57	11.4	0.99069	0.053
6.5	0.35	0.31	10.2	58	170	0.49	0.0	c177bc21	9.4	0.99692	0.069
6.8	0.73	0.2	6.6	25	65	0.28	0.0	2946ebd1	11.1	0.99324	0.054
6	0.28	0.24	17.8	42	111	0.45	0.0	a00e77bd	8.9	0.99896	0.047
6	0.28	0.24	17.8	42	111	0.45	0.0	7b08c58a	8.9	0.99896	0.047
7.1	0.2	0.37	1.5	28	129	0.52	0.0	96a65868	10.8	0.99226	0.049
6.8	0.33	0.31	7.4	34	143	0.55	0.0	ec4624f1	12.2	0.99226	0.045
6	0.28	0.24	17.8	42	111	0.45	0.0	61f526bb	8.9	0.99896	0.047
7.2	0.24	0.36	2	21	63	0.63	0.0	2cfb5368	12.5	0.99076	0.029
6.8	0.33	0.31	7.4	34	143	0.55	0.0	b8a1ce75	12.2	0.99226	0.045
7.2	0.24	0.36	2	21	63	0.63	0.0	6befd9ac	12.5	0.99076	0.029
6	0.28	0.24	17.8	42	111	0.45	0.0	e188501e	8.9	0.99896	0.047
6.2	0.27	0.26	12.1	43	127	0.37	0.0	1e61499a	10.8	0.9951	0.046
6.4	0.38	0.26	8.2	28	98	0.31	0.0	917886ee	11.4	0.99234	0.043
7.1	0.2	0.37	1.5	28	129	0.52	0.0	a6b239f3	10.8	0.99226	0.049
6	0.21	0.3	8.7	47	127	0.39	0.0	3595d179	10.6	0.99368	0.036
7	0.34	0.1	3.5	17	63	0.39	0.0	352b8e4d	9.2	0.9937	0.044
5.9	0.435	0.16	6.4	21	134	0.46	0.0	3c696bad	12.2	0.99151	0.031
7	0.25	0.33	2.1	17	76	0.45	0.0	eadabcf2	12.3	0.99021	0.021
6.7	0.26	0.29	7.7	40	179	0.56	0.0	1e7f9828	10.4	0.99479	0.038
7	0.24	0.3	12.3	72	172	0.57	0.0	7333aa83	10.4	0.9954	0.035
8.5	0.23	0.34	1.3	54	110	0.55	0.0	3b822c0c	11	0.99176	0.035
6	0.21	0.3	8.7	47	127	0.39	0.0	a73355af	10.6	0.99368	0.036
7	0.34	0.1	3.5	17	63	0.39	0.0	9bc5f88d	9.2	0.9937	0.044
4.8	0.65	0.12	1.1	4	10	0.36	0.0	abb8cb00	13.5	0.99246	0.013
6.1	0.22	0.38	2.8	12	65	0.64	0.0	7866bee9	11.4	0.9908	0.144
5.8	0.27	0.26	3.5	26	69	0.38	0.0	7d8aae60	11.5	0.98994	0.071
5	0.455	0.18	1.9	33	106	0.83	0.0	f69c62fa	14	0.98746	0.036
6.5	0.33	0.3	3.8	34	88	0.63	0.0	744cd386	12.5	0.99028	0.036
6.5	0.33	0.3	3.8	34	88	0.63	0.0	4d69ed26	12.5	0.99028	0.036
6.7	0.31	0.3	2.4	30	83	0.36	0.0	f3d0fc0a	12.8	0.98867	0.038
6.2	0.39	0.24	4.8	45	138	0.43	0.0	61fe8e11	11.2	0.99174	0.037
6.2	0.39	0.24	4.8	45	138	0.43	0.0	6e45c80b	11.2	0.99174	0.037
7.1	0.37	0.3	6.2	49	139	0.27	0.0	fe9521b5	13.6	0.99021	0.04
7.2	0.23	0.82	1.3	70	109	0.42	0.0	7613a7d7	9.2	0.99304	0.149
6.5	0.33	0.3	3.8	34	88	0.63	0.0	51b926cc	12.5	0.99028	0.036
7.2	0.25	0.32	1.5	24	105	0.48	0.0	b0898805	11.1	0.99154	0.054
6.2	0.39	0.24	4.8	45	138	0.43	0.0	478199d3	11.2	0.99174	0.037
4.7	0.455	0.18	1.9	33	106	0.83	0.0	cd525684	14	0.98746	0.036
7.1	0.37	0.3	6.2	49	139	0.27	0.0	ec63f56d	13.6	0.99021	0.04
6.2	0.28	0.51	7.9	49	206	0.52	0.0	8443efda	9.4	0.9956	0.056
6.4	0.35	0.28	1.6	31	113	0.4	0.0	4eb833b9	14.2	0.98779	0.037
6.6	0.31	0.28	1.4	28	107	0.4	0.0	73a51a2b	13.2	0.98836	0.035
7.4	0.25	0.37	2.6	24	132	0.53	0.0	b8e0905a	11.2	0.99138	0.05
7.3	0.36	0.34	14.8	46	173	0.57	0.0	3c51d94c	10.2	0.99751	0.057
6.7	0.31	0.3	2.4	30	83	0.36	0.0	cdfa1726	12.8	0.98867	0.038
8.6	0.31	0.3	0.9	16	109	0.39	0.0	6b79bafe	10.1	0.99249	0.045
8.6	0.31	0.3	0.9	16	109	0.39	0.0	3561c355	10.1	0.99249	0.045
8.6	0.22	0.33	1.2	38	95	0.31	0.0	4ff61312	10.3	0.99239	0.031
6.9	0.14	0.29	9.9	30	91	0.33	0.0	121d77e8	9.9	0.99512	0.056
6.5	0.22	0.31	3.9	17	106	0.31	0.0	1f3fc5aa	11.5	0.99098	0.046
6.6	0.32	0.47	15.6	27	173	0.56	0.0	9b719076	9	0.99872	0.063
6.6	0.32	0.47	15.6	27	173	0.56	0.0	9e0e5700	9	0.99872	0.063
6.1	0.28	0.26	1.5	25	101	0.41	0.0	45a850c0	12.1	0.98894	0.03
6.2	0.3	0.28	1.6	28	106	0.41	0.0	7d5d9770	13.3	0.988245	0.036
6.9	0.22	0.28	7.8	43	116	0.6	0.0	8d4b4603	11.5	0.99326	0.05
8.7	0.31	0.21	5.6	28	67	0.52	0.0	844f5f1d	11	0.99328	0.039
7.3	0.27	0.3	1.3	26	84	0.53	0.0	f8b2066e	10.7	0.99222	0.04
7	0.46	0.2	16.7	50	184	0.56	0.0	758f187e	9.4	0.99898	0.046
5.7	0.23	0.25	7.95	16	108	0.61	0.0	c2290807	10.3	0.99486	0.042
6.5	0.36	0.36	6.7	51.5	151	0.42	0.0	67255276	9.3	0.99528	0.185
8.2	0.18	0.38	1.1	41	92	0.6	0.0	f6bc64ee	12	0.99062	0.04
6.2	0.27	0.32	6.3	47	159	0.6	0.0	745b0053	11	0.99282	0.048
6.9	0.4	0.37	8.9	36	148	0.5	0.0	80f4079f	9.3	0.996	0.053
4.9	0.345	0.34	1	32	143	0.4	0.0	979abc0d	10.1	0.99138	0.068
7.2	0.23	0.39	1.5	26	106	0.47	0.0	448be860	11.1	0.99166	0.053
6.4	0.2	0.15	6.6	26	113	0.58	0.0	7a86736c	9.9	0.99408	0.046
6.1	0.27	0.32	6.2	47	161	0.6	0.0	f003dbf8	11	0.99281	0.048
6.2	0.27	0.32	6.3	47	159	0.6	0.0	ed78e6f9	11	0.99282	0.048
6	0.3	0.33	2.1	31	127	0.42	0.0	b563f68b	12.5	0.98964	0.042
6.1	0.3	0.32	2.2	41	142	0.44	0.0	9f014e0d	12.7	0.98952	0.042
5.7	0.14	0.3	5.4	26	105	0.45	0.0	ece74de8	9.3	0.99469	0.045
6.9	0.4	0.37	8.9	36	148	0.5	0.0	97c5419f	9.3	0.996	0.053
4.9	0.345	0.34	1	32	143	0.4	0.0	090d51e2	10.1	0.99138	0.068
6.3	0.33	0.2	17.9	36	161	0.51	0.0	5a4502cc	8.8	0.9991	0.066
7	0.16	0.3	2.6	34	90	0.47	0.0	f8fc610d	11.2	0.99047	0.043
8.4	0.22	0.3	1.3	45	122	0.54	0.0	64df69b2	10.8	0.99178	0.038
6.3	0.33	0.2	17.9	36	161	0.51	0.0	0b5787f0	8.8	0.9991	0.066
7	0.16	0.3	2.6	34	90	0.47	0.0	ebb0f99a	11.2	0.99047	0.043
5.4	0.24	0.18	2.3	22	145	0.46	0.0	c0d543ba	10.3	0.99207	0.05
7.7	0.31	0.36	4.3	15	87	0.48	0.0	fe66012e	12	0.99152	0.026
5.6	0.185	0.19	7.1	36	110	0.41	0.0	299a8ef4	9.5	0.99438	0.048
5.6	0.185	0.19	7.1	36	110	0.41	0.0	77b86a27	9.5	0.99438	0.048
6.6	0.43	0.24	11.9	54	159	0.54	0.0	058688c8	9.8	0.99622	0.04
7.6	0.39	0.46	11.7	55	170	0.51	0.0	4cf5de6d	9	0.99773	0.084
7.2	0.58	0.27	5.8	40	118	0.53	0.0	81b486c0	13	0.99088	0.032
6	0.34	0.32	3.8	13	116	0.44	0.0	368586f2	11.8	0.99108	0.044
7.5	0.35	0.48	12.4	61	176.5	0.52	0.0	a35cc2b8	8.8	0.99803	0.056
7.3	0.38	0.23	6.5	18	102	0.55	0.0	d170e5ff	11.2	0.99304	0.05
5.4	0.185	0.19	7.1	36	110	0.41	0.0	40594f8c	9.5	0.99438	0.048
6.3	0.27	0.51	7.6	35	200	0.54	0.0	55cf6a2e	9.4	0.99548	0.049
6.5	0.29	0.52	7.9	35	192	0.51	0.0	4021c445	9.5	0.99551	0.049
6.4	0.17	0.3	2.8	33	125	0.49	0.0	729109a3	10.4	0.99152	0.034
6.7	0.18	0.31	10.6	42	143	0.49	0.0	c3661c85	9.8	0.99572	0.035
6.4	0.17	0.3	2.8	33	125	0.49	0.0	f672c871	10.4	0.99152	0.034
6.8	0.37	0.67	1.5	16	98	0.56	0.0	f3f2a799	10.3	0.99244	0.175
6.3	0.27	0.51	7.6	35	200	0.54	0.0	5d5f6e9f	9.4	0.99548	0.049
6.5	0.29	0.52	7.9	35	192	0.51	0.0	56615c9a	9.5	0.99551	0.049
6.1	0.24	0.26	1.7	61	134	0.81	0.0	4c3e5688	11.9	0.9903	0.033
7	0.32	0.29	7.6	35	124	0.65	0.0	c1dcb585	12.8	0.99162	0.025
6.9	0.27	0.25	7.5	18	117	0.38	0.0	34136d35	13	0.99116	0.03
6.5	0.29	0.53	1.7	41	192	0.59	0.0	bf701bb5	10.4	0.9922	0.04
6.5	0.29	0.52	1.7	41	193	0.59	0.0	0438677a	10.4	0.99223	0.034
6.1	0.22	0.25	12.1	54	135	0.4	0.0	aa322129	10.7	0.99481	0.035
6.3	0.22	0.27	4.5	81	157	0.76	0.0	b91cb0b5	10.7	0.9928	0.036
6.1	0.24	0.26	1.7	61	134	0.81	0.0	4f6a076f	11.9	0.9903	0.033
5.6	0.23	0.25	8	31	101	0.42	0.0	3a838113	10.4	0.99429	0.043
7	0.32	0.29	7.6	35	124	0.65	0.0	fccdaa8a	12.8	0.99162	0.025
6.8	0.11	0.27	8.6	45	104	0.37	0.0	305d1804	9.9	0.99454	0.044
6.8	0.11	0.27	8.6	45	104	0.37	0.0	0eded26c	9.9	0.99454	0.044
7.3	0.23	0.41	14.6	73	223	0.71	0.0	2a4cfae4	9.4	0.99863	0.048
6.1	0.2	0.17	1.6	46	129	0.43	0.0	9a9998b6	11.4	0.991	0.048
6.8	0.11	0.27	8.6	45	104	0.37	0.0	2b16f328	9.9	0.99454	0.044
7.3	0.23	0.41	14.6	73	223	0.71	0.0	40e44c29	9.4	0.99863	0.048
6.9	0.2	0.41	1.1	36	104	0.39	0.0	c905e0a5	9.2	0.99317	0.06
6.7	0.19	0.32	3.7	26	76	0.57	0.0	4888e72c	10.5	0.99173	0.041
6.7	0.28	0.34	8.9	32	111	0.54	0.0	4559ffe5	11	0.99455	0.048
6.7	0.28	0.34	8.9	32	111	0.54	0.0	2df5e1b5	11	0.99455	0.048
8	0.37	0.31	4.7	3	127	0.72	0.0	be7a65b7	12.1	0.99186	0.038
6.7	0.28	0.34	8.9	32	111	0.54	0.0	49c31dbb	11	0.99455	0.048
6	0.26	0.29	3.1	37	144	0.39	0.0	83d2c185	12.8	0.98944	0.041
6.4	0.24	0.49	5.8	25	120	0.98	0.0	c7c572cf	10.5	0.9942	0.053
6.4	0.24	0.49	5.8	25	120	0.98	0.0	167d53f8	10.5	0.9942	0.053
6.4	0.24	0.49	5.8	25	120	0.98	0.0	a10ecc8c	10.5	0.9942	0.053
6.4	0.25	0.57	1	21	122	0.4	0.0	6620ec09	9.5	0.99238	0.062
6.1	0.25	0.48	15.8	25	94	0.45	0.0	546d3617	9.2	0.99782	0.052
6.8	0.14	0.35	1.5	40	117	0.72	0.0	4a6b3482	11.1	0.99111	0.047
6.5	0.38	0.26	5.2	33	112	0.5	0.0	6807dcd4	12.3	0.99067	0.042
6.8	0.14	0.35	1.5	40	117	0.72	0.0	570c0e77	11.1	0.99111	0.047
5.4	0.15	0.32	2.5	10	51	0.58	0.0	de70bddb	12.6	0.98878	0.037
6.4	0.25	0.57	1	21	122	0.4	0.0	56d94b0c	9.5	0.99238	0.062
6.1	0.25	0.48	15.8	25	94	0.45	0.0	27b03040	9.2	0.99782	0.052
6.8	0.22	0.32	5.9	40	152	0.57	0.0	a8e1f691	10.8	0.9938	0.054
7.2	0.21	0.29	3.1	39	122	0.6	0.0	f55bc9f2	11.3	0.99143	0.044
6	0.26	0.29	3.1	37	144	0.39	0.0	83cb57a6	12.8	0.98944	0.041
6.4	0.24	0.49	5.8	25	120	0.98	0.0	ba3bee5d	10.5	0.9942	0.053
6.5	0.46	0.24	11.5	56	171	0.56	0.0	5956236b	9.8	0.99588	0.051
6.5	0.18	0.48	18	56	183	0.61	0.0	1c8c4145	8.5	1.00038	0.054
6.2	0.32	0.12	4.8	6	97	0.5	0.0	b8a3f81f	9.3	0.99424	0.054
7.2	0.4	0.24	8.5	45	151	0.52	0.0	d5615d7e	9.2	0.99626	0.055
5.9	0.23	0.24	1.6	32	115	0.51	0.0	d8c45501	11.4	0.99076	0.037
6.4	0.18	0.48	18	56	183	0.61	0.0	1aa9caa0	8.5	1.00038	0.054
6.2	0.32	0.12	4.8	6	97	0.5	0.0	2e3de319	9.3	0.99424	0.054
6.4	0.37	0.12	5.9	6	91	0.46	0.0	cd7e7b36	8.4	0.99536	0.056
7	0.23	0.42	1.1	35	100	0.4	0.0	bd237e31	9.2	0.99318	0.062
7.2	0.4	0.24	8.5	45	151	0.52	0.0	922b2090	9.2	0.99626	0.055
7.6	0.19	0.37	13.1	52	151	0.79	0.0	be25bc31	10.4	0.99726	0.033
6	0.28	0.27	4.1	50	147	0.56	0.0	a81ed0b9	11.6	0.99126	0.046
6.2	0.32	0.45	2.9	37	94	0.6	0.0	b8517026	12.4	0.98998	0.029
7.6	0.19	0.37	13.1	52	151	0.79	0.0	d4058ca3	10.4	0.99726	0.033
6.4	0.26	0.26	1.1	22	176	0.54	0.0	f725a53a	9.3	0.99304	0.052
5.9	0.25	0.27	1.5	37	81	0.46	0.0	e555599f	12.2	0.9892	0.029
6.1	0.28	0.3	7.75	33	139	0.46	0.0	21b6e66c	11	0.99296	0.031
6.9	0.19	0.38	1.15	30	105	0.38	0.0	301acd2d	11.4	0.99047	0.023
6.4	0.29	0.57	1	15	120	0.41	0.0	85e356a7	9.5	0.9924	0.06
6.8	0.27	0.22	17.8	16	116	0.53	0.0	4bbea62a	9.2	0.9989	0.034
7.5	0.26	0.38	5.7	23	125	0.62	0.0	afc7fb22	11.1	0.99338	0.021
6.8	0.27	0.22	17.8	16	116	0.53	0.0	3bcb0106	9.2	0.9989	0.034
6.4	0.2	0.22	7.4	53	172	0.58	0.0	b426ec3f	11	0.99404	0.032
7.3	0.33	0.22	1.4	40	177	0.48	0.0	3437ce02	9.9	0.99287	0.041
7.3	0.34	0.22	1.4	43	176	0.46	0.0	04b6b78e	9.9	0.99286	0.044
6.4	0.29	0.57	1	15	120	0.41	0.0	380eced1	9.5	0.9924	0.06
6.1	1.1	0.16	4.4	8	109	0.47	0.0	7b306fa7	12.4	0.99058	0.033
6.3	0.24	0.29	1.6	48	185	0.5	0.0	1d0d8a12	9.4	0.9934	0.052
6.2	0.24	0.22	7.9	45	149	0.52	0.0	98977607	9.3	0.99545	0.053
7.4	0.16	0.27	15.5	25	135	0.43	0.0	c16a8a5a	8.7	0.9984	0.05
7.4	0.16	0.27	15.5	25	135	0.43	0.0	38009967	8.7	0.9984	0.05
7.4	0.16	0.27	15.5	25	135	0.43	0.0	806df161	8.7	0.9984	0.05
7.4	0.16	0.27	15.5	25	135	0.43	0.0	1c04e3a3	8.7	0.9984	0.05
7.2	0.17	0.28	17.55	33	154	0.43	0.0	bde8345a	9	0.99971	0.05
6.9	0.19	0.35	13.5	49	118	0.63	0.0	90a8395e	10.7	0.99546	0.038
6.9	0.19	0.35	13.5	49	118	0.63	0.0	7a7dc5ed	10.7	0.99546	0.038
6.8	0.16	0.36	1.3	32	98	0.58	0.0	f3664aaf	11.3	0.99058	0.034
7.4	0.16	0.27	15.5	25	135	0.43	0.0	e556eaa0	8.7	0.9984	0.05
6.8	0.3	0.27	11.6	22	97	0.38	0.0	07a4f405	11.7	0.99314	0.028
6.2	0.24	0.22	7.9	45	149	0.52	0.0	3a052801	9.3	0.99545	0.053
7.4	0.16	0.27	15.5	25	135	0.43	0.0	880e2b61	8.7	0.9984	0.05
7.2	0.17	0.28	17.55	33	154	0.43	0.0	01734f55	9	0.99971	0.05
6.8	0.3	0.27	11.6	22	97	0.38	0.0	5f8580d8	11.7	0.99314	0.028
6.5	0.43	0.18	13.15	25	131	0.51	0.0	a6efdf25	10.7	0.99565	0.032
6.6	0.17	0.36	1.9	38	110	0.54	0.0	78074a56	11.4	0.99056	0.036
6.9	0.19	0.35	13.5	49	118	0.63	0.0	3c5331d5	10.7	0.99546	0.038
6.8	0.16	0.36	1.3	32	98	0.58	0.0	209070df	11.3	0.99058	0.034
6.4	0.41	0.01	6.1	20	70	0.42	0.0	63826991	10	0.99362	0.048
6.4	0.41	0.01	6.1	20	70	0.42	0.0	f5e908ba	10	0.99362	0.048
7.4	0.36	0.32	1.9	27	119	0.49	0.0	963059b9	11.2	0.99196	0.036
6.1	0.17	0.21	1.9	44	130	0.41	0.0	e3a2fcf7	9.7	0.99255	0.09
5.5	0.28	0.21	1.6	23	85	0.42	0.0	0d2937f3	12.5	0.99027	0.032
6.6	0.5	0.26	11.3	32	110	0.78	0.0	a2137b6b	12.9	0.99302	0.029
7.1	0.44	0.27	8.4	60	160	0.36	0.0	b72d8918	11.8	0.99257	0.057
6.9	0.38	0.28	8.3	22	166	0.72	0.0	7323f926	10.6	0.99506	0.062
7.1	0.44	0.27	8.4	60	160	0.36	0.0	e2a19835	11.8	0.99257	0.057
6.2	0.24	0.28	12.2	54	133	0.37	0.0	17adba44	10.7	0.9952	0.049
6.1	0.28	0.27	8	41	162	0.51	0.0	85c57c5c	9.9	0.99498	0.048
7.6	0.26	0.32	1.3	23	76	0.46	0.0	8062bbb4	12	0.9903	0.048
7.5	0.16	0.38	12.7	70.5	163	0.82	0.0	0612dd36	10.4	0.99706	0.043
6.5	0.36	0.16	1.3	11	107	0.39	0.0	b24bf6c1	8.5	0.99398	0.054
6.6	0.35	0.19	10.5	15	82	0.38	0.0	9c3b42eb	9.9	0.99588	0.06
5.7	0.25	0.26	12.5	52.5	120	0.45	0.0	74153175	9.4	0.99691	0.049
7.4	0.37	0.26	9.6	33	134	0.46	0.0	08e2ed9b	10.4	0.99608	0.05
5.7	0.25	0.21	1.5	21	108	0.59	0.0	61bce8a5	11	0.99142	0.044
5.8	0.23	0.21	1.5	21	110	0.57	0.0	c463aa76	11	0.99138	0.044
5.4	0.265	0.28	7.8	27	91	0.38	0.0	010b8541	10.4	0.99432	0.052
5.7	0.25	0.27	10.8	58	116	0.5	0.0	63337188	9.8	0.99592	0.05
5.7	0.25	0.26	12.5	52.5	106	0.45	0.0	91588ff8	9.4	0.99691	0.049
5.9	0.23	0.28	8.6	37	142	0.53	0.0	d9de4056	10.6	0.99432	0.046
6.2	0.3	0.32	1.2	32	185	0.44	0.0	d4aef83f	10.1	0.99266	0.052
6.5	0.33	0.24	14.5	20	96	0.3	0.0	c1d649e6	11.5	0.99456	0.048
7.4	0.26	0.29	3.7	14	73	0.45	0.0	58dc8384	11.4	0.9915	0.048
7	0.2	0.4	1.1	30	93	0.38	0.0	d748b8e6	9.2	0.99322	0.058
6.5	0.21	0.42	1.1	33	101	0.38	0.0	fc01d8ec	9.7	0.9927	0.059
7.3	0.25	0.27	3.8	16	79	0.46	0.0	759faf8c	11.3	0.99173	0.047
6.8	0.27	0.24	4.6	36	127	0.49	0.0	98e44a67	9.6	0.99412	0.098
6.7	0.24	0.3	10.2	44	179	0.46	0.0	8306e1a4	8.9	0.99666	0.07
6.4	0.14	0.28	7.9	21	82	0.36	0.0	636d978c	10	0.99425	0.057
6.4	0.5	0.2	2.4	19	112	0.4	0.0	b026bce5	9.2	0.99314	0.059
6.6	0.41	0.27	10.7	20	103	0.41	0.0	fc0f7463	9	0.99672	0.11
6.4	0.25	0.28	4.9	29	98	0.58	0.0	dd3f9cec	12.8	0.99024	0.03
6.6	0.41	0.27	10.7	20	103	0.41	0.0	32042c1a	9	0.99672	0.11
8	0.25	0.35	1.1	13	136	0.55	0.0	84e4dbd9	9.5	0.99366	0.054
6.4	0.14	0.28	7.9	21	82	0.36	0.0	2622ba58	10	0.99425	0.057
6.6	0.21	0.34	5.6	30	140	0.38	0.0	798d5de7	11	0.99299	0.046
6.4	0.5	0.2	2.4	19	112	0.4	0.0	d7b01c57	9.2	0.99314	0.059
6.3	0.29	0.23	14.2	24	99	0.38	0.0	a6ee7afa	10.6	0.99528	0.037
6.9	0.37	0.23	9.5	54	166	0.42	0.0	c0b199d8	10	0.99568	0.057
6.9	0.37	0.23	9.5	54	166	0.42	0.0	79fba222	10	0.99568	0.057
5.7	0.31	0.28	4.1	22	86	0.38	0.0	05f87c8d	11.7	0.99062	0.03
6.9	0.45	0.27	4.7	17	80	0.36	0.0	eff50ae5	12.5	0.99058	0.035
6.9	0.3	0.45	1.4	36	122	0.47	0.0	a3e2d399	11.1	0.99059	0.039
5.3	0.23	0.56	0.9	46	141	0.62	0.0	798db66a	9.7	0.99119	0.041
6.8	0.3	0.26	20.3	45	150	0.38	0.0	f3e51568	12.3	0.99727	0.037
6.7	0.28	0.42	3.5	43	105	0.38	0.0	3a5cbfa6	12.2	0.99021	0.035
5	0.255	0.22	2.7	46	153	0.76	0.0	538ae362	11.3	0.99238	0.043
7.6	0.4	0.27	1.2	23	193	0.38	0.0	5b73070f	11.6	0.99164	0.053
5.5	0.21	0.25	1.2	18	75	0.56	0.0	d54700d8	11.3	0.99006	0.04
6	0.2	0.25	2	30	95	0.56	0.0	2294a4d9	11.1	0.99078	0.041
6.1	0.17	0.29	1.1	32	92	0.57	0.0	db5d8071	11.2	0.99036	0.041
7.5	0.21	0.29	1.5	35	107	0.45	0.0	1f1eaf03	11.3	0.99123	0.046
7.3	0.26	0.32	1.2	29	94	0.45	0.0	b897ec75	12	0.98978	0.041
6.2	0.35	0.2	18.1	33	158	0.5	0.0	0399716a	8.8	0.99908	0.069
6.2	0.35	0.2	18.1	33	158	0.5	0.0	504483cf	8.8	0.99908	0.069
6.5	0.43	0.31	3.6	19	143	0.34	0.0	39d336fd	12	0.99022	0.046
6.5	0.4	0.31	3.5	22	147	0.31	0.0	0527a054	12	0.99024	0.046
7.4	0.28	0.5	12.1	48	122	0.44	0.0	1c2d6b8f	9	0.9973	0.049
6.3	0.23	0.22	17.45	42	151	0.6	0.0	78650140	9.3	0.99853	0.054
6.2	0.34	0.25	12.1	33	171	0.56	0.0	a025efbf	8.7	0.99769	0.059
6.6	0.44	0.32	3	13	75	0.63	0.0	eabf0b8b	12.8	0.98954	0.095
6	0.13	0.36	1.6	23	72	0.5	0.0	30f5180e	11.5	0.98974	0.052
6.3	0.17	0.23	5.7	44	147	0.54	0.0	b5624673	10	0.99382	0.048
6.3	0.18	0.22	5.6	45	147	0.54	0.0	944d6e02	10	0.99383	0.047
6.7	0.31	0.34	6.8	51	215	0.56	0.0	2e24a5b2	10.3	0.99538	0.059
6.6	0.33	0.32	15.6	62	227	0.56	0.0	88a92dfe	10.4	0.99734	0.054
6.3	0.34	0.31	6	18	68	0.29	0.0	17834d14	13.4	0.98981	0.02
6.8	0.29	0.32	1.8	18	130	0.62	0.0	d91fccc2	11.2	0.99095	0.032
7.4	0.31	0.26	8.6	47	206	0.36	0.0	df62c1a8	9.1	0.9964	0.048
7.4	0.31	0.26	8.6	47	206	0.36	0.0	4e9f5ae2	9.1	0.9964	0.048
5.7	0.25	0.27	11.5	24	120	0.31	0.0	5ee4f619	10.8	0.99411	0.04
6.8	0.27	0.28	7.8	26	89	0.34	0.0	6c45e8cb	12.5	0.9915	0.038
5.9	0.26	0.24	2.4	27	132	0.73	0.0	14324feb	11.3	0.99234	0.046
5.9	0.65	0.23	5	20	128	0.48	0.0	dec2a473	12.8	0.99016	0.035
7.4	0.31	0.26	8.6	47	206	0.36	0.0	538a7535	9.1	0.9964	0.048
6.6	0.23	0.32	1.5	8	72	0.39	0.0	cbfbfdd4	12.7	0.98949	0.041
6.8	0.18	0.35	5.4	53	143	0.54	0.0	5ba6a2d5	11	0.99287	0.054
6.8	0.28	0.29	11.9	51	149	0.58	0.0	3f294b07	10.4	0.99544	0.052
6.8	0.28	0.29	11.9	51	149	0.58	0.0	c333b6a2	10.4	0.99544	0.052
5.9	0.27	0.27	9	43	136	0.53	0.0	4e5f69ea	10.7	0.9941	0.051
6.1	0.25	0.28	10	56	131	0.35	0.0	56ca0160	10.9	0.994	0.055
6.8	0.28	0.29	11.9	51	149	0.58	0.0	0e57e048	10.4	0.99544	0.052
6.8	0.26	0.29	11.9	54	160	0.58	0.0	8f863ce5	10.4	0.99546	0.052
7.1	0.13	0.29	15.5	56	115.5	0.41	0.0	c6d5fdf5	9.7	0.99737	0.064
6.8	0.18	0.35	5.4	53	143	0.54	0.0	d7392d02	11	0.99287	0.054
6.2	0.2	0.25	15	8	120	0.53	0.0	351d85f7	9.6	0.99767	0.055
5.8	0.24	0.28	1.4	40	76	0.29	0.0	0c8fd20d	13.9	0.98711	0.038
7.6	0.48	0.31	9.4	6	194	0.61	0.0	5784024d	9.4	0.99714	0.046
7.4	0.26	0.32	3.7	29	193	0.67	0.0	e633440e	12.5	0.99134	0.032
6.2	0.2	0.25	15	8	120	0.53	0.0	d49418b4	9.6	0.99767	0.055
6.1	0.3	0.47	1.4	50	187	0.45	0.0	0950a1cc	9.5	0.9927	0.049
6.2	0.32	0.5	6.5	61	186	0.45	0.0	eb83aff5	9.6	0.9948	0.048
6.1	0.3	0.47	1.4	50	187	0.45	0.0	e82b1f94	9.5	0.9927	0.049
6.3	0.34	0.52	6.3	63	186	0.44	0.0	9de4a591	9.6	0.99481	0.047
7.4	0.16	0.3	13.7	33	168	0.44	0.0	9f0d6243	8.7	0.99825	0.056
7.4	0.16	0.3	13.7	33	168	0.44	0.0	d045c63a	8.7	0.99825	0.056
7.4	0.16	0.3	13.7	33	168	0.44	0.0	65793c08	8.7	0.99825	0.056
7.4	0.16	0.3	13.7	33	168	0.44	0.0	628881e7	8.7	0.99825	0.056
7.4	0.16	0.3	13.7	33	168	0.44	0.0	01118a4d	8.7	0.99825	0.056
7.4	0.16	0.3	13.7	33	168	0.44	0.0	a8d42837	8.7	0.99825	0.056
7.2	0.26	0.38	1.5	12	120	0.46	0.0	310eb195	10.4	0.99192	0.061
7	0.31	0.35	1.6	13	119	0.5	0.0	b94642c9	10.7	0.99184	0.063
6.6	0.22	0.35	1.4	23	83	0.48	0.0	25a03348	12	0.99019	0.05
5.8	0.23	0.31	3.5	35	158	0.37	0.0	ce00fd74	12.1	0.98998	0.044
6.3	0.17	0.32	1	39	118	0.4	0.0	24eefff6	13.1	0.98886	0.04
6	0.19	0.26	1.4	30	104	0.41	0.0	cee200c5	12.4	0.98998	0.039
6.7	0.21	0.34	1.5	45	123	0.36	0.0	91169a1d	12.6	0.98949	0.035
7.4	0.16	0.3	13.7	33	168	0.44	0.0	0bb8bfff	8.7	0.99825	0.056
6.6	0.22	0.37	1.6	31	101	0.66	0.0	767b7397	12	0.99009	0.04
6.8	0.34	0.27	5.2	14	169	0.57	0.0	38dc5ce8	11.6	0.99252	0.06
7.1	0.34	0.86	1.4	36	99	0.5	0.0	072a8dcf	9.3	0.99288	0.174
6.3	0.24	0.22	11.9	65	179	0.58	0.0	7242a28e	9.3	0.99659	0.05
6.9	0.35	0.39	2.4	25	157	0.54	0.0	23ccaa5d	11.1	0.99133	0.048
6.8	0.24	0.33	3.2	68	161	0.69	0.0	0335231c	10.2	0.99324	0.049
6.4	0.25	0.33	1.7	35	113	0.66	0.0	66f56dd7	10.6	0.99164	0.037
5.8	0.19	0.33	4.2	49	133	0.42	0.0	5e27989c	11.3	0.99107	0.038
6.9	0.24	0.4	15.4	81	198	0.69	0.0	c866fb13	9.4	0.9986	0.052
6.5	0.31	0.61	13	31	123	0.5	0.0	4e5dcdd6	9.3	0.99708	0.053
6.6	0.25	0.32	5.6	15	68	0.52	0.0	05e935fe	11.1	0.99163	0.039
7.5	0.38	0.56	9.7	15	170	0.65	0.0	dcd01f4c	9.9	0.99605	0.055
6.2	0.3	0.3	2.5	29	82	0.61	0.0	937351dd	11.8	0.99065	0.041
6.4	0.33	0.28	4	24	81	0.64	0.0	a111450b	12.6	0.9903	0.04
6.9	0.24	0.4	15.4	81	198	0.69	0.0	7c99213c	9.4	0.9986	0.052
7.6	0.27	0.32	1.2	23	72	0.68	0.0	30f31885	10.5	0.99236	0.043
5.9	0.24	0.34	2	40	108	0.5	0.0	5dd3f598	12.3	0.98948	0.037
5.3	0.33	0.3	1.2	25	119	0.62	0.0	50657053	11.3	0.99045	0.048
6.4	0.21	0.21	5.1	21	105	0.46	0.0	6df21558	9.6	0.9939	0.097
7	0.22	0.3	1.4	14	63	0.33	0.0	c1740cb3	12	0.98985	0.04
7.8	0.27	0.35	1.2	36	140	0.45	0.0	0aff3f09	11.2	0.99138	0.05
6.7	0.2	0.24	6.5	28	100	0.33	0.0	86c8f95e	10.2	0.99348	0.044
8.1	0.27	0.33	1.3	26	100	0.44	0.0	fee30d57	12.4	0.99066	0.045
6.7	0.2	0.24	6.5	28	100	0.33	0.0	b4892375	10.2	0.99348	0.044
7.1	0.45	0.24	2.7	24	87	0.38	0.0	489a7afb	13.4	0.98862	0.04
5.8	0.22	0.29	1.3	25	68	0.35	0.0	e039c8ac	12.6	0.98865	0.036
6.3	0.3	0.48	7.4	34	149	0.53	0.0	f5cb8685	9.8	0.99472	0.053
7.9	0.36	0.53	12.9	63	139	0.45	0.0	2574c546	9.1	0.99792	0.049
8.1	0.27	0.33	1.3	26	100	0.44	0.0	47512909	12.4	0.99066	0.045
8	0.24	0.33	1.2	28	101	0.43	0.0	0a58ede4	12.5	0.99035	0.044
6.7	0.41	0.27	2.6	25	85	0.34	0.0	ed65456f	11.7	0.99086	0.033
6.7	0.24	0.31	2.3	37	113	0.46	0.0	2bc0f37a	12.9	0.99013	0.044
6.2	0.3	0.32	1.3	27	183	0.43	0.0	71a6f544	10.1	0.99266	0.054
6.9	0.26	0.38	10.5	33	139	0.5	0.0	ed82d8e0	10.3	0.99517	0.044
6.7	0.41	0.27	2.6	25	85	0.34	0.0	6daad802	11.7	0.99086	0.033
5.9	0.32	0.2	14.4	29	144	0.41	0.0	62365f4b	10.3	0.99666	0.05
6.1	0.25	0.3	1.2	42	107	0.56	0.0	44bc1208	10.8	0.991	0.036
5.6	0.23	0.29	3.1	19	89	0.51	0.0	a54de952	11.2	0.99068	0.023
6.6	0.23	0.32	1.7	26	102	0.6	0.0	0999faa9	11.8	0.99084	0.024
6	0.17	0.21	6	26	134	0.54	0.0	795398d3	9.8	0.9939	0.05
7.1	0.38	0.42	11.8	32	193	0.49	0.0	21e24561	10	0.99624	0.041
6.6	0.31	0.37	6.2	13	164	0.39	0.0	74b6e32f	8.8	0.99602	0.052
6.5	0.38	0.53	1.4	5	69	0.52	0.0	1a1cc599	10.1	0.9926	0.142
7	0.44	0.24	12.1	68	210	0.5	0.0	3915b14d	9.5	0.99718	0.056
7	0.44	0.24	12.1	68	210	0.5	0.0	db6892e7	9.5	0.99718	0.056
7	0.44	0.24	12.1	68	210	0.5	0.0	1393bfcc	9.5	0.99718	0.056
6.1	0.38	0.14	3.9	27	113	0.34	0.0	16c5ba9c	9.2	0.99344	0.06
8	0.33	0.32	4.6	31	180	0.74	0.0	b0a49231	12.2	0.99184	0.041
7	0.44	0.24	12.1	68	210	0.5	0.0	6bd6506d	9.5	0.99718	0.056
6	0.19	0.29	1.2	29	92	0.53	0.0	d430fde5	11.3	0.99033	0.046
6.3	0.28	0.34	8.1	44	129	0.29	0.0	102f0255	12.1	0.99248	0.038
6.1	0.38	0.14	3.9	27	113	0.34	0.0	9f770a12	9.2	0.99344	0.06
5.3	0.43	0.11	1.1	6	51	0.48	0.0	be5da504	11.2	0.99076	0.029
5.4	0.22	0.35	6.5	26	87	0.44	0.0	f58b8978	12.5	0.99092	0.029
6.2	0.345	0.27	10.1	38	187	0.56	0.0	f9a3321a	10.6	0.99486	0.056
5.6	0.255	0.57	10.7	66	171	0.61	0.0	762d57b9	10.4	0.99464	0.056
5.2	0.2	0.27	3.2	16	93	0.53	0.0	064b861d	10.1	0.99235	0.047
6.2	0.29	0.23	12.4	33	201	0.56	0.0	67f17ab3	9.9	0.99612	0.048
6.3	0.26	0.25	5.2	11	133	0.68	0.0	37af85d8	11	0.99202	0.046
6	0.22	0.23	5	10	122	0.63	0.0	d35736b2	10	0.99261	0.045
7.5	0.35	0.37	2.5	29	89	0.42	0.0	446d6761	12.7	0.98964	0.066
6.6	0.39	0.28	9.2	10	92	0.35	0.0	eeef8cf2	12.1	0.99206	0.036
6.3	0.23	0.33	6.9	23	118	0.46	0.0	87d16c99	10.4	0.9938	0.052
6.3	0.22	0.3	2	23	120	0.47	0.0	a7cbd5ef	10.4	0.99204	0.05
6.4	0.29	0.18	15	21	116	0.5	0.0	ca6b0f43	9.2	0.99736	0.04
6.4	0.29	0.18	15	21	116	0.5	0.0	d1a5dd5e	9.2	0.99736	0.04
7.5	0.23	0.3	1.2	27	80	0.68	0.0	bfca7ade	10.5	0.99192	0.03
6.4	0.29	0.18	15	21	116	0.5	0.0	84dab48d	9.2	0.99736	0.04
5.7	0.28	0.36	1.8	38	90	0.98	0.0	b507af46	11.9	0.99002	0.041
6.5	0.26	0.24	10.8	47	130	0.4	0.0	33fe767c	10.1	0.996	0.042
6.4	0.27	0.29	3.9	62	140	0.59	0.0	6afa1939	11.1	0.99237	0.034
5.9	0.22	0.29	4.2	69	144	0.74	0.0	3f10d201	10.8	0.99214	0.037
6.8	0.26	0.26	2	23.5	72	0.47	0.0	f9866eed	11.8	0.99041	0.019
7.6	0.36	0.48	13.5	44	116	0.48	0.0	29cdd9b5	9.2	0.9982	0.038
7.6	0.35	0.47	13.3	42	116	0.5	0.0	2ab6ed7a	9.2	0.99822	0.037
5.7	0.18	0.26	2.2	21	95	0.54	0.0	f4dfc3da	12.3	0.9893	0.023
6.6	0.36	0.47	1.4	26	124	0.56	0.0	74e24553	10.1	0.99274	0.145
5.9	0.14	0.2	1.6	26	114	0.45	0.0	0f3a7f00	11.4	0.99105	0.04
5.5	0.23	0.19	2.2	39	161	0.43	0.0	dff1f2ab	10.4	0.99209	0.044
6.7	0.11	0.26	14.8	44	95	0.35	0.0	4baa6d27	9.8	0.99676	0.053
7	0.24	0.24	1.8	29	91	0.43	0.0	e6d1bf39	9.9	0.99251	0.047
6.7	0.11	0.26	14.8	44	95	0.35	0.0	e90b8d83	9.8	0.99676	0.053
5.3	0.47	0.1	1.3	11	74	0.54	0.0	0939b108	11.2	0.99082	0.036
7.5	0.29	0.24	9.9	25	115	0.46	0.0	1fbd82cf	10.9	0.99567	0.058
6	0.33	0.26	5.1	16	119	0.41	0.0	e8a987c1	9.2	0.99416	0.051
6	0.33	0.26	5.1	16	119	0.41	0.0	3a59a508	9.2	0.99416	0.051
5.8	0.32	0.23	1.5	39	121	0.35	0.0	e00aac95	12	0.9887	0.033
5.8	0.3	0.23	1.5	37	121	0.34	0.0	13716e1a	12.1	0.98871	0.034
3.8	0.31	0.02	11.1	20	114	0.44	0.0	6b0c9a89	12.4	0.99248	0.036
6.2	0.36	0.22	5.25	44	145	0.4	0.0	b8b97336	11.2	0.99184	0.038
6	0.31	0.27	2.3	19	120	0.41	0.0	253907d5	12.7	0.98952	0.042
6.9	0.52	0.54	7.9	23	169	0.47	0.0	770fac8c	12.2	0.99267	0.036
7	0.55	0.05	8	19	164	0.46	0.0	6e9095f8	12.2	0.99269	0.036
5.8	0.2	0.16	1.4	44	99	0.37	0.0	bbd5bcc2	12.2	0.98912	0.042
6.2	0.36	0.22	5.25	44	145	0.4	0.0	ff6b48c1	11.2	0.99184	0.038
6	0.31	0.27	2.3	19	120	0.41	0.0	8a336124	12.7	0.98952	0.042
6	0.29	0.27	2.3	20	117	0.41	0.0	70953e11	12.7	0.9895	0.044
5.7	0.22	0.29	3.5	27	146	0.36	0.0	2235563d	12.1	0.98999	0.04
7.1	0.46	0.23	13.7	44	192	0.53	0.0	2be98a90	9.4	0.9981	0.045
6.6	0.21	0.3	9.9	64	174	0.5	0.0	bbb071dc	10.1	0.995	0.041
6.9	0.42	0.2	15.4	57	201	0.54	0.0	18ee228a	9.4	0.99848	0.043
5.7	0.22	0.2	16	41	113	0.46	0.0	814ae492	8.9	0.99862	0.044
5.7	0.22	0.2	16	41	113	0.46	0.0	f6d13d7c	8.9	0.99862	0.044
5.7	0.22	0.2	16	41	113	0.46	0.0	6b4780e6	8.9	0.99862	0.044
5.7	0.22	0.2	16	41	113	0.46	0.0	2b4aa46d	8.9	0.99862	0.044
5.2	0.31	0.2	2.4	27	117	0.45	0.0	06d987ca	13	0.98886	0.027
7.2	0.22	0.35	5.5	37	183	0.5	0.0	f338d6e0	10.3	0.99474	0.054
5.6	0.18	0.29	2.3	5	47	0.45	0.0	4cbbfd15	10.1	0.99126	0.04
6.2	0.24	0.27	16.8	48	129	0.38	0.0	fbff71c0	10.5	0.99691	0.04
5.7	0.22	0.2	16	41	113	0.46	0.0	464bfe7e	8.9	0.99862	0.044
5.7	0.26	0.24	17.8	23	124	0.5	0.0	79a6ae43	10.1	0.99773	0.059
5.7	0.26	0.24	17.8	23	124	0.5	0.0	766dc4e0	10.1	0.99773	0.059
6	0.2	0.26	6.8	22	93	0.42	0.0	89ea6ffc	11	0.9928	0.049
6	0.2	0.26	6.8	22	93	0.42	0.0	249f5b5a	11	0.9928	0.049
6	0.2	0.26	6.8	22	93	0.42	0.0	8487310c	11	0.9928	0.049
6	0.2	0.26	6.8	22	93	0.42	0.0	132fcba3	11	0.9928	0.049
7.6	0.28	0.17	1.6	28	117	0.43	0.0	53ca7be5	10	0.99288	0.046
7	0.2	0.33	4.7	25	76	0.54	0.0	d735c326	10.5	0.99202	0.03
6.6	0.26	0.27	11.8	28	112	0.49	0.0	83b83d10	9.7	0.99606	0.048
5.7	0.26	0.24	17.8	23	124	0.5	0.0	54b7ef5e	10.1	0.99773	0.059
7.2	0.21	0.36	15.7	68	183	0.76	0.0	8704841a	9.4	0.99922	0.045
6.9	0.22	0.32	5.8	20	119	0.55	0.0	b72a488a	11.2	0.99296	0.041
7.2	0.21	0.36	15.7	68	183	0.76	0.0	318cca6b	9.4	0.99922	0.045
7.4	0.22	0.28	9	22	121	0.55	0.0	03fb2b7c	10.8	0.99468	0.046
7.2	0.21	0.36	15.7	68	183	0.76	0.0	6add3354	9.4	0.99922	0.045
6.9	0.22	0.32	5.8	20	119	0.55	0.0	a99c3d20	11.2	0.99296	0.041
7	0.2	0.35	8.8	31	103	0.49	0.0	f73a69b6	11	0.99388	0.037
5.6	0.26	0	10.2	13	111	0.46	0.0	65f23ec7	12.4	0.99315	0.038
6.3	0.28	0.3	6.6	60	154	0.4	0.0	b686f55b	9.4	0.99478	0.208
6.4	0.29	0.3	6.5	62	156	0.4	0.0	ed97592a	9.4	0.99478	0.209
7.2	0.34	0.23	8.9	22	155	0.58	0.0	721a41ea	9.5	0.99692	0.105
7.1	0.39	0.39	11.1	25	204	0.52	0.0	f2908924	10	0.99616	0.034
6.9	0.26	0.29	4.2	33	114	0.31	0.0	b7daa85a	12.5	0.9902	0.043
6.1	0.24	0.25	1.6	24	115	0.59	0.0	d1e5030d	10.9	0.9921	0.044
5.9	0.25	0.24	7.4	21	113	0.58	0.0	bc450262	10.5	0.99462	0.044
6.1	0.24	0.27	11.5	51	133	0.37	0.0	1c7a3836	10.8	0.99476	0.05
6.5	0.22	0.27	1.6	36	116	0.57	0.0	8a68d2d7	11	0.99178	0.039
6.2	0.26	0.29	2	16	87	0.61	0.0	1f00e2de	11.8	0.99081	0.036
6.6	0.34	0.25	4.8	16	121	0.71	0.0	5de49664	12.6	0.99198	0.038
5.6	0.225	0.24	9.8	59	140	0.39	0.0	b3ccae26	10.2	0.99545	0.054
7.1	0.23	0.28	1.9	33	103	0.31	0.0	825b07f5	12	0.98997	0.046
6.9	0.26	0.29	4.2	33	114	0.31	0.0	1ec17bcd	12.5	0.9902	0.043
6.4	0.27	0.3	1.6	19	86	0.65	0.0	7ed68af7	11.5	0.99089	0.04
6.3	0.41	0.22	7.3	23	117	0.39	0.0	da1837b5	11.94	0.99172	0.035
6.7	0.41	0.24	5.4	33	115	0.44	0.0	fc9786c2	12.8933333333333	0.9901	0.035
7.2	0.585	0.2	10.4	17	94	0.4	0.0	94465c59	9.4	0.99681	0.086
6.7	0.34	0.26	1.9	58	138	0.47	0.0	6ec8d234	12.2	0.9893	0.038
6.3	0.41	0.22	7.3	23	117	0.39	0.0	c1560685	11.94	0.99172	0.035
6.7	0.41	0.24	5.4	33	115	0.44	0.0	a6068594	12.8933333333333	0.9901	0.035
6.4	0.26	0.35	7.7	45	191	0.5	0.0	e438c7b5	9.5	0.99527	0.056
6.3	0.28	0.22	11.5	27	150	0.33	0.0	f6b288ff	10.6	0.99445	0.036
7.4	0.16	0.33	1.2	47	121	0.68	0.0	a446b56b	10.5	0.99198	0.042
8.4	0.27	0.3	2.2	36	129	0.3	0.0	0f6ca265	11.4666666666667	0.99085	0.037
5.9	0.2	0.28	1	45	100	0.41	0.0	3464455e	11.4	0.99033	0.043
6.4	0.24	0.26	8.2	47	182	0.5	0.0	b0b05da5	9.5	0.99538	0.054
7.4	0.38	0.34	8.3	44	168	0.52	0.0	20e200e4	9.2	0.99627	0.052
6.4	0.24	0.26	8.2	47	182	0.5	0.0	f2c0cf82	9.5	0.99538	0.054
6.4	0.42	0.19	9.3	28	145	0.53	0.0	f200568a	10.98	0.99433	0.043
6.4	0.23	0.26	8.1	47	181	0.49	0.0	72c8b66b	9.4	0.9954	0.054
6.4	0.24	0.26	8.2	47	182	0.5	0.0	35f62558	9.5	0.99538	0.054
7.4	0.38	0.34	8.3	44	168	0.52	0.0	cb20ed5c	9.2	0.99627	0.052
7.3	0.19	0.27	13.9	45	155	0.41	0.0	76863f06	8.8	0.99807	0.057
7.3	0.19	0.27	13.9	45	155	0.41	0.0	7050993c	8.8	0.99807	0.057
7.3	0.19	0.27	13.9	45	155	0.41	0.0	ca4dad0e	8.8	0.99807	0.057
7.3	0.19	0.27	13.9	45	155	0.41	0.0	5b242d19	8.8	0.99807	0.057
7.3	0.19	0.27	13.9	45	155	0.41	0.0	ba3af168	8.8	0.99807	0.057
7.3	0.19	0.27	13.9	45	155	0.41	0.0	010d32c9	8.8	0.99807	0.057
7.3	0.19	0.27	13.9	45	155	0.41	0.0	7791e70b	8.8	0.99807	0.057
6.8	0.24	0.29	2	15	96	0.64	0.0	27d3679d	10.4	0.99232	0.044
7.3	0.19	0.27	13.9	45	155	0.41	0.0	fbf8d60f	8.8	0.99807	0.057
7.4	0.27	0.52	15.7	36	139	0.62	0.0	973eed8a	10.0333333333333	0.99788	0.054
5.7	0.28	0.35	1.2	39	141	0.69	0.0	fc861a9e	11.3	0.99108	0.052
5.8	0.22	0.25	1.5	21	109	0.58	0.0	d257ddef	10.4	0.99234	0.024
6.7	0.27	0.69	1.2	36	106	0.43	0.0	7d1c34c4	9.2	0.99288	0.176
7.1	0.2	0.35	3.2	21	107	0.54	0.0	af68688b	11.1	0.99195	0.034
6.7	0.27	0.69	1.2	36	106	0.43	0.0	9f6e1fe8	9.2	0.99288	0.176
7.1	0.23	0.3	2.6	62	148	0.56	0.0	5d802c2f	11.3	0.99121	0.034
7.6	0.31	0.52	13.2	61	148	0.47	0.0	7a60e508	9.1	0.99839	0.042
7.2	0.34	0.28	10.4	43	187	0.57	0.0	d3904861	9.4	0.99738	0.108
7	0.36	0.25	5.7	14	73	0.59	0.0	8da9a5df	13.2	0.98963	0.015
6.4	0.31	0.28	2.5	34	137	0.38	0.0	99fa15f6	12.7	0.98946	0.039
7.3	0.28	0.35	1.6	31	148	0.47	0.0	1287edd5	10.7	0.99178	0.054
7.4	0.16	0.3	1.4	34	166	0.42	0.0	f0174512	11.4333333333333	0.99136	0.064
6.4	0.31	0.27	7.4	48	169	0.45	0.0	eb95c3ee	11.1	0.99323	0.049
6.4	0.31	0.28	2.5	34	137	0.38	0.0	a9a26cdd	12.7	0.98946	0.039
6.2	0.29	0.29	5.6	35	178	0.51	0.0	fa5bf992	10.5333333333333	0.99313	0.046
5.9	0.28	0.34	3.6	50	194	0.52	0.0	704c5c84	11.6	0.9912	0.04
6.5	0.23	0.2	7.5	44	179	0.48	0.0	a1f65b71	9.53333333333333	0.99504	0.05
7.2	0.34	0.2	5.8	52	203	0.44	0.0	daba478f	9.8	0.99461	0.062
7.3	0.28	0.35	1.6	31	148	0.47	0.0	f78a3c1c	10.7	0.99178	0.054
6.5	0.2	0.33	1.5	36	110	0.65	0.0	684b7d86	12	0.99008	0.039
6.2	0.24	0.27	2.9	30	123	0.37	0.0	3a16e583	12.8	0.98959	0.039
7.1	0.31	0.25	11.2	32	136	0.4	0.0	2f9441dc	9.5	0.99663	0.048
6.4	0.29	0.21	9.65	36	119	0.34	0.0	5cbef12a	10.9333333333333	0.99334	0.041
6.3	0.19	0.33	10.1	63	133	0.41	0.0	3903ccc2	9.1	0.99561	0.063
5.9	0.29	0.28	3.2	16	117	0.42	0.0	42e4a41d	12.6	0.98959	0.035
7.1	0.31	0.25	11.2	32	136	0.4	0.0	12828c3f	9.5	0.99663	0.048
6.5	0.3	0.28	11.45	29	109	0.3	0.0	0ac43a01	10.9	0.99418	0.041
6.4	0.29	0.21	9.65	36	119	0.34	0.0	17e01cd5	10.9333333333333	0.99334	0.041
6.5	0.22	0.19	4.5	16	115	0.44	0.0	52978f81	9.6	0.9937	0.096
7	0.23	0.28	2.7	16	92	0.56	0.0	40796c5a	9.3	0.99372	0.053
7.1	0.23	0.23	3.5	23	112	0.37	0.0	de9387c7	11.3666666666667	0.99157	0.038
6.1	0.26	0.28	1.7	24	98	0.44	0.0	03150ecf	12.5	0.98918	0.043
6.4	0.35	0.21	2.1	46	171	0.5	0.0	99890b14	9.5	0.9932	0.051
6	0.32	0.32	4.8	40	186	0.54	0.0	228efe40	11	0.99235	0.041
6.1	0.34	0.21	5	17	133	0.53	0.0	54a7d1ca	9.4	0.99373	0.042
6.5	0.13	0.27	2.6	32	76	0.76	0.0	6c7ac94c	11.3333333333333	0.9914	0.035
6.5	0.315	0.2	6.6	9	126	0.51	0.0	61edbb09	8.8	0.99494	0.041
6.1	0.34	0.21	5	17	133	0.53	0.0	43ade7ec	9.4	0.99373	0.042
5.7	0.31	0.29	7.3	33	143	0.5	0.0	463fce1d	11.0666666666667	0.99332	0.05
6.4	0.3	0.27	5	27	151	0.49	0.0	54d73612	12.2	0.99198	0.058
7	0.24	0.26	1.7	31	110	0.53	0.0	be8675b4	11	0.99142	0.041
6.5	0.13	0.27	2.6	32	76	0.76	0.0	410805c0	11.3333333333333	0.9914	0.035
6.4	0.26	0.21	8.2	51	182	0.48	0.0	9cfc73e3	9.5	0.99542	0.05
6.4	0.26	0.21	8.2	51	182	0.48	0.0	0ae9e63b	9.5	0.99542	0.05
6	0.27	0.31	5	54	170	0.52	0.0	1ffee735	11	0.9924	0.043
7.1	0.21	0.33	1.2	34	97	0.75	0.0	925ca88d	11.2	0.99112	0.039
6.7	0.26	0.29	7.1	28	100	0.36	0.0	ba9f9314	9.3	0.99534	0.036
6.3	0.28	0.22	9.5	30	111	0.31	0.0	b2de34ca	10.8	0.99338	0.04
6.2	0.25	0.44	15.8	39	167	0.51	0.0	0f15ef8a	9.2	0.99804	0.057
7.3	0.22	0.37	15.5	70	203	0.77	0.0	97d63a66	9.4	0.99899	0.048
6.2	0.25	0.44	15.8	39	167	0.51	0.0	b5636e42	9.2	0.99804	0.057
6.4	0.18	0.28	17.05	53	139	0.35	0.0	284579dd	10.5	0.99724	0.047
6.3	0.2	0.26	12.7	60	143	0.35	0.0	d55204c8	10.8	0.99526	0.046
6.6	0.24	0.22	12.3	35	146	0.67	0.0	bcd18547	9.4	0.99676	0.051
7.4	0.27	0.26	11.8	55	173	0.6	0.0	68908acf	9.8	0.99699	0.053
7.4	0.27	0.26	11.8	55	173	0.6	0.0	f5e6d1fb	9.8	0.99699	0.053
7.4	0.27	0.26	11.8	55	173	0.6	0.0	a39d9de7	9.8	0.99699	0.053
6.6	0.24	0.22	12.3	35	146	0.67	0.0	2bbbae7e	9.4	0.99676	0.051
7.4	0.27	0.26	11.8	55	173	0.6	0.0	ff66e2b1	9.8	0.99699	0.053
7.1	0.38	0.29	13.6	30	137	0.96	0.0	3a8cef9e	12.1	0.99461	0.041
6.8	0.43	0.26	5.2	40	176	0.41	0.0	42da7e65	12.3	0.99116	0.043
5.2	0.22	0.46	6.2	41	187	0.42	0.0	951ba509	9.73333333333333	0.99362	0.066
5.9	0.29	0.16	7.9	48	197	0.36	0.0	fe565028	9.4	0.99512	0.044
5.9	0.29	0.16	7.9	48	197	0.36	0.0	ecfd2f12	9.4	0.99512	0.044
6.3	0.29	0.29	3.3	32	140	0.36	0.0	9030ff4c	12.8	0.9895	0.037
6.3	0.19	0.32	2.8	18	80	0.47	0.0	f9e65b26	11.05	0.99043	0.046
5.7	0.29	0.16	7.9	48	197	0.36	0.0	db6505af	9.4	0.99512	0.044
6.3	0.29	0.29	3.3	32	140	0.36	0.0	f48e3497	12.8	0.9895	0.037
5.7	0.24	0.47	6.3	35	182	0.46	0.0	f9f9527f	9.73333333333333	0.99391	0.069
5.8	0.3	0.38	4.9	22	86	0.58	0.0	a6f97692	13.1	0.98963	0.039
7.1	0.27	0.27	10.4	26	114	0.52	0.0	000eb5a6	11.5	0.99335	0.041
5.8	0.3	0.38	4.9	22	86	0.58	0.0	04169ca1	13.1	0.98963	0.039
7.1	0.27	0.27	10.4	26	114	0.52	0.0	f0358018	11.5	0.99335	0.041
6.3	0.305	0.22	16	26	141	0.5	0.0	2b5075e2	9.1	0.99824	0.061
5.7	0.24	0.47	6.3	35	182	0.46	0.0	d1df4b72	9.75	0.99391	0.069
6.2	0.22	0.28	2.2	24	125	0.48	0.0	5d612232	10.5	0.9917	0.04
6.6	0.22	0.23	17.3	37	118	0.46	0.0	7616c32d	8.8	0.99906	0.047
6.6	0.22	0.23	17.3	37	118	0.46	0.0	c0d3cba7	8.8	0.99906	0.047
6.6	0.22	0.23	17.3	37	118	0.46	0.0	8ab87ac7	8.8	0.99906	0.047
6.6	0.22	0.23	17.3	37	118	0.46	0.0	3288351a	8.8	0.99906	0.047
6.2	0.22	0.28	2.2	24	125	0.48	0.0	5a5123dd	10.5	0.9917	0.04
6.2	0.22	0.28	2.2	24	125	0.48	0.0	764a6a94	10.5	0.9917	0.04
6.6	0.22	0.23	17.3	37	118	0.46	0.0	85caa9f1	8.8	0.99906	0.047
6.1	0.22	0.5	6.6	30	122	0.49	0.0	1cb49063	9.9	0.99415	0.045
6.2	0.21	0.52	6.5	28	123	0.49	0.0	24b44dca	9.9	0.99418	0.047
6.3	0.32	0.26	12.3	24	205	0.58	0.0	20e738f2	9.9	0.99611	0.044
6.9	0.44	0.27	5	33	166	0.42	0.0	0fe4ab9b	12.2	0.99124	0.038
6.1	0.31	0.34	2.8	59.5	162	0.47	0.0	0ffbf789	10.8	0.99179	0.042
8.1	0.36	0.59	13.6	60	134	0.39	0.0	586340b0	8.7	0.99886	0.051
6.6	0.38	0.28	2.8	17	67	0.47	0.0	3eed1de3	13.2	0.98924	0.043
6.7	0.24	0.26	5.4	15	94	0.38	0.0	dcd2475c	12.7	0.99045	0.03
6.9	0.56	0.26	10.9	55	193	0.44	0.0	0f76a21a	9.4	0.9969	0.06
7.2	0.24	0.24	1.7	18	161	0.53	0.0	41b07dd8	11.2	0.99196	0.045
6.5	0.29	0.3	9.15	25	166	0.56	0.0	c681c3f1	11.3333333333333	0.99339	0.051
6.7	0.28	0.28	4.5	14	92	0.58	0.0	bc46ca5d	11.9	0.99224	0.051
6.5	0.29	0.3	9.15	25	166	0.56	0.0	3dc6c465	11.35	0.99339	0.051
6.1	0.21	0.19	1.4	51	131	0.39	0.0	4193b8db	10.5	0.99184	0.046
7.2	0.47	0.16	5.9	14	125	0.49	0.0	36212dca	9.8	0.99428	0.048
6.7	0.34	0.31	16.4	20	146	0.54	0.0	a667c1b8	9.1	0.99834	0.051
6.6	0.27	0.25	1.2	36	111	0.37	0.0	2c0ba5d3	12.4	0.98918	0.033
6.7	0.34	0.31	16.4	20	146	0.54	0.0	d7836ca5	9.1	0.99834	0.051
7.2	0.47	0.16	5.9	14	125	0.49	0.0	2105082f	9.8	0.99428	0.048
5	0.35	0.25	7.8	24	116	0.4	0.0	8ccbd9d1	11.3	0.99241	0.031
5	0.35	0.25	7.8	24	116	0.4	0.0	819f54fb	11.3	0.99241	0.031
4.4	0.46	0.1	2.8	31	111	0.34	0.0	ae9dff8d	13.1	0.98816	0.024
6.6	0.38	0.29	2.9	15	101	0.37	0.0	5bf0ae63	12.5	0.98916	0.035
7.3	0.3	0.25	2.5	32	122	0.54	0.0	9fa70782	10.3	0.99329	0.045
6.4	0.28	0.22	12.8	51	150	0.43	0.0	067846e7	10.7	0.99535	0.039
6.9	0.29	0.25	12.2	29	136	0.65	0.0	24f5568e	10.4	0.99552	0.04
6.3	0.3	0.19	7.7	47	184	0.48	0.0	ba3b13ec	9.5	0.99514	0.049
6.3	0.39	0.22	2.8	53	173	0.45	0.0	d1b53337	9.8	0.99304	0.048
6.6	0.38	0.29	2.9	15	101	0.37	0.0	aff0a6d1	12.5	0.98916	0.035
6.6	0.18	0.26	17.3	17	149	0.43	0.0	43a2f378	9.4	0.9984	0.051
6	0.28	0.29	19.3	36	174	0.5	0.0	3ad390a6	9	0.99911	0.051
6	0.28	0.29	19.3	36	174	0.5	0.0	24cf229c	9	0.99911	0.051
6	0.28	0.29	19.3	36	174	0.5	0.0	6a7921eb	9	0.99911	0.051
6.6	0.35	0.26	2.7	19	129	0.48	0.0	a4aed7c2	13	0.98952	0.045
5.9	0.22	0.18	6.4	28	120	0.5	0.0	1a56a297	9.9	0.99403	0.041
6.6	0.18	0.26	17.3	17	149	0.43	0.0	2df13dd2	9.4	0.9984	0.051
7.7	0.28	0.24	2.4	29	157	0.56	0.0	ee291fbc	10.6	0.99312	0.044
7.1	0.42	0.2	2.8	28	109	0.47	0.0	c56822c7	13.4	0.98968	0.038
6.7	0.32	0.32	1.7	31	114	0.35	0.0	c0e13e78	12.5	0.98946	0.031
6.6	0.26	0.56	15.4	32	141	0.49	0.0	9c176b99	9.3	0.9981	0.053
6.6	0.26	0.56	15.4	32	141	0.49	0.0	31fc6854	9.3	0.9981	0.053
6.2	0.32	0.24	4.1	34	149	0.52	0.0	857df0c2	11	0.99306	0.051
6.3	0.25	0.27	6.6	40	158	0.48	0.0	b1185919	10.3	0.99378	0.054
6.2	0.21	0.24	1.2	31	95	0.57	0.0	00e12b26	11.3	0.99036	0.051
6.4	0.23	0.27	2.1	35	100	0.63	0.0	a32ba6bc	10.9	0.99094	0.042
4.7	0.145	0.29	1	35	90	0.49	0.0	c381e30f	11.3	0.9908	0.042
6.2	0.2	0.28	1.1	24	78	0.47	0.0	f482a251	12.1	0.9899	0.039
7	0.28	0.28	1.4	12	83	0.65	0.0	8b761165	11.1	0.99173	0.039
7.1	0.36	0.2	1.6	24	140	0.63	0.0	3c105a91	9.8	0.99356	0.271
5.7	0.25	0.22	9.8	50	125	0.45	0.0	4a55cd75	10.1	0.99571	0.049
5.7	0.22	0.33	1.9	37	110	0.58	0.0	a6dda6b8	12.4	0.98945	0.036
6	0.2	0.38	1.3	37	104	0.52	0.0	3860db2d	12.7	0.98865	0.034
6.4	0.32	0.26	7.9	53	180	0.5	0.0	7a018d5c	9.6	0.99514	0.05
6.4	0.32	0.26	7.9	53	180	0.5	0.0	9f200790	9.6	0.99514	0.05
6	0.555	0.26	4.5	17	126	0.46	0.0	4587b463	9.1	0.9943	0.053
5.9	0.22	0.45	22.6	55	122	0.35	0.0	c8596f65	12.8	0.99636	0.12
6.4	0.32	0.26	7.9	53	180	0.5	0.0	af1416fd	9.6	0.99514	0.05
6.2	0.3	0.33	3.5	37	155	0.37	0.0	d7a72cf2	12.4	0.98987	0.037
5.8	0.28	0.18	1.2	7	108	0.58	0.0	352623fc	9.55	0.99288	0.058
5.8	0.555	0.26	4.5	17	126	0.46	0.0	919ec6e0	9.1	0.9943	0.053
6.7	0.31	0.33	2	12	74	0.65	0.0	66ae91bf	12.5	0.99064	0.033
6.4	0.15	0.25	7.8	13	68	0.4	0.0	a79b8969	9.9	0.99394	0.05
6.4	0.13	0.28	0.9	32	87	0.52	0.0	927cf27e	11.2	0.99175	0.045
6.7	0.48	0.49	2.9	28	122	0.4	0.0	d810abb4	13	0.98926	0.03
6.7	0.48	0.49	2.9	28	122	0.4	0.0	8849da0c	13	0.98926	0.03
5.8	0.3	0.33	3.5	25	116	0.44	0.0	c4c666d4	11.7	0.99057	0.033
6.1	0.28	0.23	4.2	13	95	0.7	0.0	e1510df2	13.1	0.98898	0.038
6	0.19	0.37	9.7	17	50	0.66	0.0	ed87ee41	12	0.9932	0.032
6.8	0.31	0.25	10.5	30	165	0.55	0.0	adfd3f15	10.55	0.9972	0.043
7.5	0.24	0.29	1.1	34	84	0.39	0.0	b9f73d14	11.45	0.9902	0.046
6.8	0.23	0.39	16.1	71	194	0.64	0.0	614f9b75	10.2	0.9988	0.053
7.5	0.24	0.29	1.1	34	84	0.39	0.0	8716cd06	11.45	0.9902	0.046
6.3	0.29	0.3	8.1	60	150	0.4	0.0	63225454	9.3	0.9958	0.212
6.8	0.2	0.25	6.2	22	106	0.54	0.0	ae30e9ac	10.8	0.9935	0.052
5.2	0.38	0.26	7.7	20	103	0.45	0.0	7d5162a1	12.2	0.9925	0.053
7.8	0.27	0.33	2.4	36	175	0.55	0.0	edf298dd	11	0.992	0.053
6.6	0.54	0.21	16.3	41	182	0.54	0.0	35aae459	10.4	0.9986	0.055
7.1	0.25	0.31	2.3	32	156	0.51	0.0	d77ddedb	11.4	0.9914	0.05
5.8	0.61	0.01	8.4	31	104	0.72	0.0	578f6f9b	14.05	0.9909	0.041
6.5	0.32	0.23	8.5	20	138	0.42	0.0	99f9c5f2	10.7	0.9943	0.051
6.4	0.28	0.23	6	50	162	0.52	0.0	3b6a25f4	10.2	0.994	0.051
6.6	0.19	0.28	1.1	38	100	0.69	0.0	4c566f49	11.2	0.9904	0.044
5.1	0.305	0.13	1.75	17	73	0.51	0.0	6528a45a	12.3333333333333	0.99	0.036
5.8	0.26	0.3	2.6	75	129	0.38	0.0	bd6615e8	11.5	0.9902	0.034
6.7	0.23	0.17	1.3	14	100	0.55	0.0	ffc54414	9.5	0.9925	0.061
6.8	0.33	0.3	2.1	35	147	0.56	0.0	a209561b	13.4	0.9886	0.047
6.1	0.27	0.32	1.1	24	110	0.4	0.0	bac0cfc6	12.5	0.9898	0.034
6.1	0.27	0.32	1.1	24	110	0.4	0.0	e8555d17	12.5	0.9898	0.034
6.8	0.4	0.29	2.8	27	97	0.42	0.0	7aea10f8	11.2	0.9904	0.044
6.1	0.4	0.18	9	28.5	259	0.5	0.0	d585f3c4	8.8	0.9964	0.051
7.1	0.28	0.26	2.8	50	118	0.59	0.0	86d5c66f	11.2	0.9908	0.039
6.2	0.32	0.32	2.2	15	70	0.48	0.0	6f33ba04	12.7	0.9899	0.036
6.8	0.17	0.17	5.1	26	82	0.38	0.0	ac00cebd	9.8	0.993	0.049
9	0.2	0.33	3.5	10	40	0.36	0.0	5795a921	9.8	0.9944	0.049
5.8	0.13	0.22	12.7	24	183	0.42	0.0	dea2e969	11.7	0.9956	0.058
5.8	0.31	0.31	7.5	55	230	0.46	0.0	bd0ddc11	9.8	0.9949	0.052
6.3	0.36	0.2	2	48	191	0.51	0.0	d24644ff	9.6	0.9929	0.048
9	0.2	0.33	3.5	10	40	0.36	0.0	73b88b14	9.8	0.9944	0.049
6.7	0.18	0.25	14.3	79	149	0.37	0.0	e2856e08	9.7	0.9975	0.048
6.6	0.16	0.25	9.8	59.5	137	0.38	0.0	9835638e	10	0.995	0.049
5.8	0.13	0.22	12.7	24	183	0.42	0.0	d94f3e32	11.7	0.9956	0.058
5.8	0.27	0.22	12.7	42	206	0.38	0.0	e6188987	12.3	0.9946	0.058
6.8	0.17	0.17	5.1	26	82	0.38	0.0	ff1637e9	9.8	0.993	0.049
6.4	0.37	0.19	3.5	18	101	0.38	0.0	74a68490	9	0.9934	0.068
7.3	0.26	0.53	12.7	60.5	164.5	0.45	0.0	f302b971	9.1	0.9984	0.047
7.3	0.28	0.54	12.9	62	162.5	0.45	0.0	b983c69d	9.1	0.9984	0.049
7.3	0.28	0.54	12.9	62	162.5	0.45	0.0	1068d290	9.1	0.9984	0.049
5.8	0.12	0.21	1.3	35	121	0.33	0.0	04c493b5	11.4	0.9908	0.056
6.1	0.25	0.18	10.5	41	124	0.35	0.0	5b14561d	10.5	0.9963	0.049
6.4	0.24	0.27	1.5	35	105	0.3	0.0	6f164213	12.4	0.98914	0.04
7.3	0.26	0.53	12.7	60.5	156	0.45	0.0	ffd0c6ae	9.1	0.9984	0.047
7.3	0.28	0.54	12.9	62	152	0.45	0.0	7849a319	9.1	0.9984	0.049
8.3	0.18	0.37	1.2	6	94	0.52	0.0	26ee7ad8	10.1	0.9937	0.049
7.1	0.09	0.3	6.2	24	134	0.39	0.0	d426587e	10.9	0.993	0.032
8.3	0.14	0.36	8.8	13	60	0.35	0.0	bb829aca	11.05	0.9956	0.026
5.8	0.28	0.3	3.9	36	105	0.58	0.0	da2c15d1	12.75	0.98963	0.026
6	0.23	0.34	1.3	23	111	0.37	0.0	e1ce0940	12.7	0.98961	0.025
6.9	0.28	0.37	9.1	16	76	0.54	0.0	043127db	11.1	0.9948	0.037
6.9	0.28	0.37	9.1	16	76	0.54	0.0	7b413700	11.1	0.9948	0.037
5.8	0.28	0.3	3.9	36	105	0.58	0.0	fdfc822d	12.75	0.98963	0.026
6.3	0.25	0.53	1.8	41	101	0.31	0.0	2ab6f201	13	0.989315	0.021
6.5	0.2	0.31	2.1	32	95	0.61	0.0	32645b53	12	0.989435	0.033
5.9	0.29	0.32	1.4	17	47	0.35	0.0	e43739d8	11.5	0.9899	0.022
6.4	0.46	0.22	14.7	51	183	0.6	0.0	0380ac01	10.5	0.998275	0.047
6.9	0.28	0.37	9.1	16	76	0.54	0.0	33ee9c27	11.1	0.9948	0.037
6.8	0.23	0.33	1.9	20	101	0.46	0.0	fb9c2209	11.1	0.9914	0.047
7	0.23	0.32	1.8	25	113	0.47	0.0	840cb7d7	11.1	0.9915	0.048
6.4	0.55	0.26	9.6	20	104	0.73	0.0	b095f722	13.1	0.9924	0.027
5.7	0.28	0.3	3.9	36	105	0.58	0.0	2ec7eb4e	12.75	0.98963	0.026
6	0.23	0.34	1.3	23	111	0.37	0.0	a9f84e42	12.7	0.98961	0.025
6.8	0.45	0.3	11.8	23	97	0.44	0.0	46c5010b	9.6	0.997	0.094
6.1	0.2	0.4	1.9	32	138	0.72	0.0	655dc887	11.7	0.9914	0.028
6.1	0.37	0.46	12	61	210	0.59	0.0	381a080d	9.7	0.997	0.042
5.9	0.21	0.23	7.9	22	130	0.59	0.0	d379dc76	10.9	0.9944	0.033
6.9	0.22	0.32	9.3	22	110	0.54	0.0	de8d29aa	10.7	0.9958	0.04
5.4	0.27	0.22	4.6	29	107	0.54	0.0	0267ba20	13.8	0.98889	0.022
6	0.26	0.26	2.2	10	72	0.48	0.0	89a11776	12.15	0.989465	0.035
5.6	0.18	0.3	10.2	28	131	0.42	0.0	2515dcc5	10.8	0.9954	0.028
5.6	0.26	0.27	10.6	27	119	0.34	0.0	4df550a9	10.7	0.9947	0.03
7	0.23	0.35	1.4	31	113	0.48	0.0	eadb652d	10.8	0.9912	0.036
5.8	0.28	0.66	9.1	26	159	0.55	0.0	503a1f77	10.8	0.9965	0.039
8.6	0.36	0.26	11.1	43.5	171	0.49	0.0	cf5f1c87	12	0.9948	0.03
5.8	0.28	0.66	9.1	26	159	0.55	0.0	71c5b024	10.8	0.9965	0.039
6.4	0.3	0.27	4.4	17	135	0.44	0.0	8fecd6f9	12.2	0.9925	0.055
6.2	0.2	0.32	2.8	17	126	0.55	0.0	464756cf	9.4	0.9936	0.05
5.8	0.29	0.15	1.1	12	83	0.4	0.0	adbbc833	11.4	0.9898	0.029
5.7	0.22	0.28	1.3	26	101	0.38	0.0	06f594e5	12.5	0.98948	0.027
5.6	0.22	0.32	1.2	29	97	0.46	0.0	737fa7ea	13.05	0.98823	0.024
6.8	0.32	0.23	3.3	31	99	0.4	0.0	b6584a5d	12.4	0.9896	0.026
6.2	0.2	0.26	9.7	39	102	0.56	0.0	96806a91	12.9	0.9908	0.03
6.1	0.35	0.24	2.3	25	133	0.59	0.0	9e839a25	12	0.9906	0.034
5.9	0.3	0.29	1.1	23	56	0.38	0.0	99f83211	11.3	0.9904	0.036
6.3	0.15	0.34	11.4	25	96	0.49	0.0	da809911	10	0.99754	0.05
4.8	0.13	0.32	1.2	40	98	0.64	0.0	0d8f6c97	11.8	0.9898	0.042
6	0.2	0.26	14.7	53	125	0.69	0.0	fc06ffe0	9.4	0.998365	0.045
5.7	0.2	0.24	13.8	44	112	0.66	0.0	372b25e4	8.8	0.99837	0.047
6	0.27	0.26	1.3	32	138	0.43	0.0	6ccb6911	11.1	0.99125	0.038
6.3	0.37	0.51	6.3	35	146	1.01	0.0	88f2f23b	10.5	0.9943	0.048
6.4	0.23	0.37	7.9	60	150	0.49	0.0	2b78b94d	9.3	0.99488	0.05
5.9	0.34	0.25	2	12	110	0.54	0.0	38a8a767	11.4	0.99034	0.042
5	0.33	0.23	11.8	23	158	0.64	0.0	991b3308	11.8	0.99322	0.03
5.4	0.29	0.38	1.2	31	132	0.36	0.0	78cbd06d	12.4	0.98895	0.029
8	0.33	0.35	10	22	108	0.36	0.0	afbbda26	11.6	0.99457	0.035
6.4	0.3	0.33	5.2	30	137	0.58	0.0	dbab7c01	11.1	0.99304	0.05
5.4	0.29	0.38	1.2	31	132	0.36	0.0	d1b10605	12.4	0.98895	0.029
6.4	0.33	0.3	7.2	42	168	0.49	0.0	c5f356db	11.1	0.99331	0.041
7	0.33	0.78	9.9	21	251	0.55	0.0	99a0d8a5	11	0.99435	0.042
6.7	0.45	0.3	5.3	27	165	0.46	0.0	bc462ec7	12.2	0.99122	0.036
6.5	0.36	0.31	13.55	20	113	0.56	0.0	af0be042	11	0.99544	0.053
5.8	0.42	0.3	2.2	26	129	0.47	0.0	c3144aaf	12.9	0.989	0.035
7.1	0.39	0.3	9.9	29	124	0.42	0.0	79b0bd0c	10.9	0.99414	0.037
6.7	0.53	0.29	4.3	20	114	0.59	0.0	e9a1f914	13.4	0.99014	0.069
6.7	0.66	0	13	32	75	0.5	0.0	3aaf9350	10.7	0.99551	0.033
6.5	0.36	0.31	13.55	20	113	0.56	0.0	8b625f45	11	0.99544	0.053
6.5	0.16	0.33	1	23	75	0.39	0.0	92dea34a	11.4	0.9908	0.027
8.3	0.22	0.34	1.1	20	116	0.47	0.0	7c1c7b07	10.2	0.9927	0.043
6.9	0.23	0.35	6.9	45	116	0.54	0.0	d62784da	11	0.99244	0.03
6.4	0.17	0.34	13.4	45	139	0.43	0.0	70a22e2b	9.1	0.99752	0.044
5	0.33	0.18	4.6	40	124	0.4	0.0	b16e43b2	11	0.99114	0.032
6.8	0.38	0.29	9.9	40	146	0.37	0.0	36953f7f	11.5	0.99326	0.037
6.5	0.29	0.32	3	38	93	0.59	0.0	74a04b59	12	0.9906	0.036
6.9	0.29	0.32	5.8	16	112	0.58	0.0	d8a3fe9a	11.2	0.993	0.04
6.6	0.28	0.3	12.9	31	177	0.39	0.0	3f4a572d	11.2	0.99479	0.033
6.2	0.36	0.27	3.2	13	73	0.69	0.0	c7eb304e	12.6	0.98942	0.032
6	0.615	0.04	0.8	8	50	0.4	0.0	f3455bd4	11	0.99036	0.032
5.9	0.44	0.36	2.5	12	73	0.48	0.0	d546722a	10.8	0.99201	0.03
5.9	0.42	0.36	2.4	19	77	0.48	0.0	479baacf	10.9	0.99184	0.034
5.8	0.34	0.21	7.2	48	146	0.49	0.0	b8d79a8c	9.8	0.99441	0.041
5.8	0.27	0.2	7.3	42	145	0.48	0.0	9ec38342	9.8	0.99442	0.04
7.1	0.33	0.18	6.3	27	166	0.49	0.0	1f632891	9.5	0.99474	0.094
6.1	0.44	0.28	4.25	43	132	0.47	0.0	1ec3cdd7	11.2666666666667	0.9916	0.032
7.3	0.28	0.37	1.2	26	99	0.62	0.0	2219e98b	10.8	0.99198	0.039
5.2	0.5	0.18	2	23	129	0.77	0.0	42357a9d	13.4	0.98949	0.036
6.1	0.44	0.28	4.25	43	132	0.47	0.0	828cea24	11.3	0.9916	0.032
6.4	0.62	0.12	4.7	33	196	0.48	0.0	eea8c579	8.9	0.99556	0.06
6.4	0.38	0.19	4.5	36	119	0.42	0.0	83f93af1	11.2	0.99151	0.038
7.5	0.305	0.38	1.4	30	95	0.52	0.0	55498fb3	11.5	0.99158	0.047
6.5	0.5	0.22	4.1	35	131	0.55	0.0	fddb550d	13	0.9902	0.036
6.6	0.4	0.3	5.3	20	125	0.73	0.0	d5102c89	12.6	0.99204	0.038
6.4	0.4	0.25	4.2	15	91	0.52	0.0	ce23fb57	13.1	0.98988	0.032
8.3	0.49	0.23	6.65	6	158	0.48	0.0	aea088bb	11.2	0.99344	0.034
6.3	0.3	0.91	8.2	50	199	0.49	0.0	0aa2f166	11.7	0.99394	0.034
6.1	0.19	0.37	2.6	24	99	0.5	0.0	b2fc12eb	10.9	0.99153	0.041
6.1	0.19	0.37	2.6	24	99	0.5	0.0	f25581fc	10.9	0.99153	0.041
5.6	0.24	0.34	2	14	73	0.45	0.0	c64ba61f	11.6	0.98981	0.041
5.7	0.25	0.32	12.2	43	127	0.53	0.0	35d735ac	10.4	0.99524	0.041
6.6	0.21	0.39	2.3	31	102	0.58	0.0	7c5a085a	10.9	0.99221	0.041
6.3	0.3	0.91	8.2	50	199	0.49	0.0	01790304	11.7	0.99394	0.034
6.2	0.28	0.41	5	50	188	0.64	0.0	7ef1d6c2	10.8	0.99318	0.043
5.8	0.29	0.38	10.7	49	136	0.59	0.0	a7dafe0a	11.2	0.99366	0.038
5.8	0.345	0.15	10.8	26	120	0.49	0.0	4173d0b3	10	0.99494	0.033
6.5	0.51	0.25	1.7	39	177	0.57	0.0	aef32b0f	10.5666666666667	0.99212	0.048
6	0.24	0.41	1.3	42	118	0.64	0.0	e1ae868c	11.7333333333333	0.99018	0.036
6.5	0.51	0.25	1.7	39	177	0.57	0.0	bd2c7f33	10.6	0.99212	0.048
6.9	0.54	0.26	12.7	59	195	0.54	0.0	fd1288ae	10.5	0.99596	0.049
6	0.24	0.41	1.3	42	118	0.64	0.0	eff79d27	11.75	0.99018	0.036
6.6	0.26	0.36	1.2	43	126	0.63	0.0	338ed0d0	11.4	0.99094	0.035
5.7	0.24	0.3	1.3	25	98	0.43	0.0	ab0f6b7a	12.4	0.98968	0.03
6.5	0.21	0.35	5.7	47	197	0.5	0.0	25dc33ee	10.1	0.99392	0.043
6.8	0.29	0.22	3.4	40	122	0.47	0.0	b5cad504	12.3	0.99024	0.035
5	0.24	0.34	1.1	49	158	0.32	0.0	214f0d8c	13.1	0.98774	0.034
5.9	0.18	0.28	1	24	88	0.55	0.0	fc26da21	10.65	0.99094	0.037
5.8	0.26	0.29	1	35	101	0.48	0.0	06c3ce4a	11.4	0.99044	0.042
6.7	0.61	0.21	1.65	40	240	0.57	0.0	dd9ab059	9.3	0.9938	0.117
5.7	0.695	0.06	6.8	9	84	0.44	0.0	d642bdc1	10.2	0.99432	0.042
5.6	0.695	0.06	6.8	9	84	0.44	0.0	ca59a9e9	10.2	0.99432	0.042
5.7	0.39	0.25	4.9	49	113	0.58	0.0	8599119c	13.1	0.98966	0.033
6.1	0.38	0.47	1.4	59	210	0.5	0.0	5e4e4ee8	9.6	0.99309	0.051
6.3	0.36	0.28	2.5	18	73	0.47	0.0	77964c41	12.8	0.98868	0.035
6	0.29	0.41	10.8	55	149	0.59	0.0	c594bd7f	10.9666666666667	0.9937	0.048
6	0.29	0.41	10.8	55	149	0.59	0.0	95831606	10.9666666666667	0.9937	0.048
6	0.29	0.41	10.8	55	149	0.59	0.0	ee0ba773	10.9666666666667	0.9937	0.048
6	0.29	0.41	10.8	55	149	0.59	0.0	be28bb34	11	0.9937	0.048
7.1	0.43	0.25	2.8	43	132	0.47	0.0	756577b4	13.4	0.98975	0.036
6.6	0.25	0.25	1.3	28	85	0.48	0.0	5de983cc	11.2	0.98984	0.04
6.6	0.33	0.41	2	14	79	0.63	0.0	d633f595	12.4	0.99063	0.027
8	0.23	0.41	1.1	35	150	0.47	0.0	baefc38b	11.2	0.99168	0.048
7.3	0.17	0.36	8.2	44	111	0.41	0.0	45a4d127	12.4	0.99272	0.028
6	0.17	0.33	6	30	111	0.58	0.0	9f5dbdb1	10.1333333333333	0.99362	0.036
6.1	0.16	0.34	6.1	31	114	0.58	0.0	480e9ea5	10.1333333333333	0.99365	0.034
7.3	0.17	0.36	8.2	44	111	0.41	0.0	2b9ca1a6	12.4	0.99272	0.028
6.4	0.31	0.53	8.8	36	221	0.44	0.0	a638a4e6	9.1	0.99642	0.057
6.1	0.16	0.34	6.1	31	114	0.58	0.0	53975f5f	10.15	0.99365	0.034
6	0.17	0.33	6	30	111	0.58	0.0	c4d6909a	10.15	0.99362	0.036
5.9	0.44	0.33	1.2	12	117	0.44	0.0	9e024edf	11.5	0.99134	0.049
6.6	0.285	0.49	11.4	57	137	0.54	0.0	428d20b2	8.9	0.99732	0.035
4.9	0.335	0.14	1.3	69	168	0.46	0.0	78a35067	10.4666666666667	0.99212	0.036
4.9	0.335	0.14	1.3	69	168	0.46	0.0	0e4501b8	10.4666666666667	0.99212	0.036
6	0.28	0.52	6.2	37	104	0.51	0.0	a5e205eb	11.8	0.99161	0.028
5.8	0.35	0.29	3.2	41	151	0.58	0.0	ac7fa428	11.6333333333333	0.9912	0.034
5.7	0.21	0.37	4.5	58	140	0.62	0.0	d2b10d7e	10.6	0.99332	0.04
6.5	0.25	0.32	9.9	41	128	0.52	0.0	432a62b4	9.6	0.99636	0.045
6	0.28	0.52	6.2	37	104	0.51	0.0	7b4578ff	11.8	0.99161	0.028
6.6	0.285	0.49	11.4	57	137	0.54	0.0	2db2105e	8.9	0.99732	0.035
4.7	0.335	0.14	1.3	69	168	0.46	0.0	e8d88ddd	10.5	0.99212	0.036
6.8	0.63	0.04	1.3	25	133	0.39	0.0	929cda65	10.2	0.99271	0.058
5.6	0.27	0.37	0.9	11	49	0.33	0.0	56fd0050	13.1	0.98845	0.025
6.8	0.32	0.33	0.7	15	66	0.31	0.0	33e7b4c8	11.8	0.9899	0.027
6.5	0.33	0.32	1	39	120	0.37	0.0	0043be7e	12.2	0.99004	0.041
6	0.24	0.34	1	52	184	0.44	0.0	51ec9294	11.45	0.99097	0.036
7.2	0.26	0.32	10.4	23	114	0.49	0.0	c08f3d0d	10.5	0.9966	0.062
6.8	0.63	0.04	1.3	25	133	0.39	0.0	8904f660	10.2	0.99271	0.058
6.7	0.16	0.32	12.5	18	156	0.36	0.0	0037d8af	9	0.99666	0.035
6.7	0.16	0.32	12.5	18	156	0.36	0.0	7f40f633	9	0.99666	0.035
6.7	0.16	0.32	12.5	18	156	0.36	0.0	238c0e4b	9	0.99666	0.035
6.7	0.16	0.32	12.5	18	156	0.36	0.0	25bddb30	9	0.99666	0.035
6.9	0.19	0.31	19.25	38	167	0.52	0.0	2a534ae9	9.1	0.99954	0.043
6	0.36	0.32	1.1	26	173	0.54	0.0	22c1a1df	8.8	0.99414	0.053
6.7	0.16	0.32	12.5	18	156	0.36	0.0	4acb7207	9	0.99666	0.035
6.9	0.19	0.31	19.25	38	167	0.52	0.0	6bb74856	9.1	0.99954	0.043
6.7	0.35	0.32	9	29	113	0.65	0.0	29afd2f0	12.9	0.99188	0.032
6.1	0.15	0.4	1.2	19	84	0.96	0.0	c80c2d62	13	0.98926	0.03
6.7	0.35	0.32	9	29	113	0.65	0.0	5cc8f616	12.9	0.99188	0.032
7	0.27	0.74	1.3	34	121	0.46	0.0	21bc7f28	9.2	0.99334	0.173
6.8	0.3	0.33	12.8	60	168	0.56	0.0	e401f0a7	9.8	0.99659	0.041
6.8	0.3	0.33	12.8	60	168	0.56	0.0	7a32f686	9.8	0.99659	0.041
6.4	0.69	0.09	7.6	34	144	0.38	0.0	f6c3856a	10.1	0.9948	0.044
6.4	0.69	0.09	7.6	34	144	0.38	0.0	bb4460cf	10.1	0.9948	0.044
5.9	0.12	0.28	1.4	36	83	0.42	0.0	3c3984e7	10.9	0.99074	0.037
6.3	0.36	0.5	8.3	51	202	0.51	0.0	aee1149d	9.6	0.9955	0.053
5.7	0.27	0.16	9	32	111	0.37	0.0	c3a8b79d	10.4	0.99474	0.053
6.1	0.22	0.4	1.85	25	111	0.3	0.0	37283c00	11.8	0.98966	0.031
5.6	0.205	0.16	12.55	31	115	0.38	0.0	0f4b2b51	10.8	0.99564	0.051
7.2	0.33	0.28	1.4	26	109	0.57	0.0	5ca48010	10.6	0.99246	0.034
5.9	0.21	0.31	1.8	45	142	0.5	0.0	0e800f36	12.7	0.98984	0.033
5.4	0.33	0.31	4	27	108	0.43	0.0	b85cd752	12.2	0.99031	0.03
5.4	0.205	0.16	12.55	31	115	0.38	0.0	d2eb4e67	10.8	0.99564	0.051
5.7	0.27	0.16	9	32	111	0.37	0.0	c3955fcb	10.4	0.99474	0.053
6.4	0.28	0.28	3	19	98	0.47	0.0	dcb52a72	11.1	0.99216	0.04
6.1	0.22	0.4	1.85	25	111	0.3	0.0	e80eb3e5	11.8	0.98966	0.031
6.7	0.15	0.32	7.9	17	81	0.31	0.0	e3c026fc	10	0.99512	0.034
5.5	0.315	0.38	2.6	10	69	0.59	0.0	58cc8adc	10.8	0.9909	0.033
4.8	0.225	0.38	1.2	47	130	0.4	0.0	e992dd51	10.3	0.99132	0.074
5.2	0.24	0.15	7.1	32	134	0.48	0.0	4bb9dede	9.9	0.99378	0.043
6.7	0.15	0.32	7.9	17	81	0.31	0.0	c62d3f8b	10	0.99512	0.034
6.6	0.27	0.32	1.3	18	93	0.56	0.0	21cda1b5	12.25	0.99044	0.044
6.1	0.32	0.33	10.7	27	98	0.52	0.0	72044e5c	10.2	0.99521	0.036
6	0.25	0.28	7.7	37	132	0.5	0.0	dc11df94	9.4	0.99489	0.053
6.4	0.42	0.46	8.4	58	180	0.46	0.0	0a49cdfb	9.7	0.99495	0.05
6.1	0.32	0.33	10.7	27	98	0.52	0.0	2a44e61f	10.2	0.99521	0.036
6.9	0.31	0.33	12.7	33	116	0.65	0.0	a71e5e10	10.4	0.9954	0.038
6.3	0.48	0.48	1.8	35	96	0.74	0.0	356d2500	12.2	0.99121	0.035
6	0.25	0.28	7.7	37	132	0.5	0.0	0b28049d	9.4	0.99489	0.053
7.2	0.21	0.31	10.5	36	122	0.4	0.0	a9338f6f	10.6	0.99478	0.035
6.8	0.32	0.43	1.6	4	65	0.47	0.0	9577b75d	10.7	0.99346	0.05
7.9	0.3	0.6	1.85	13	106	0.49	0.0	5689be19	11.85	0.99331	0.048
5.3	0.31	0.38	10.5	53	140	0.46	0.0	c9d2ea91	11.7	0.99321	0.031
5.3	0.31	0.38	10.5	53	140	0.46	0.0	9962980e	11.7	0.99321	0.031
5.2	0.185	0.22	1	47	123	0.44	0.0	4a912e0a	10.15	0.99218	0.03
5.5	0.16	0.31	1.2	31	68	0.44	0.0	d681a67c	11.6333333333333	0.9898	0.026
6	0.17	0.36	1.7	14	61	0.54	0.0	ca7c1479	10.8	0.99144	0.042
6	0.16	0.36	1.6	13	61	0.54	0.0	015fbd1e	10.8	0.99143	0.042
6.1	0.24	0.32	9	41	134	0.26	0.0	78bf17a5	12.3	0.99234	0.031
5.5	0.3	0.25	1.9	33	118	0.66	0.0	ad2e7b0e	12.5	0.98972	0.029
5.5	0.16	0.31	1.2	31	68	0.44	0.0	5cdef84b	11.65	0.9898	0.026
6	0.32	0.46	1.5	56	189	0.49	0.0	881811fe	9.6	0.99308	0.05
6.1	0.27	0.31	3.9	42	137	0.46	0.0	03172527	10.9	0.99218	0.034
6	0.27	0.32	3.6	36	133	0.46	0.0	660d66a2	10.8	0.99215	0.035
6	0.14	0.37	1.2	63	148	0.44	0.0	cb164152	11.2	0.99185	0.032
5	0.24	0.19	5	17	101	0.57	0.0	2315bdc1	10	0.99438	0.043
6.1	0.26	0.25	2.9	289	440	0.64	0.0	48d92d5b	10.5	0.99314	0.047
6.3	0.23	0.5	10.4	61	132	0.46	0.0	d9058244	9.1	0.99542	0.043
5.6	0.26	0.5	11.4	25	93	0.49	0.0	e5370c52	10.5	0.99428	0.029
6.1	0.34	0.24	18.35	33	184	0.61	0.0	4666ebef	9.3	0.99943	0.05
6.2	0.35	0.25	18.4	28	182	0.62	0.0	745cb353	9.3	0.99946	0.051
6	0.14	0.37	1.2	63	148	0.44	0.0	fddc7033	11.2	0.99185	0.032
7.3	0.36	0.62	7.1	48	185	0.62	0.0	ac6295e2	10.6	0.99472	0.033
5.1	0.25	0.36	1.3	40	78	0.64	0.0	5ece240c	12.1	0.9891	0.035
5.5	0.16	0.26	1.5	35	100	0.77	0.0	bc9a64f3	12	0.99076	0.032
6.4	0.19	0.35	10.2	40	106	0.5	0.0	7d3d04bf	9.7	0.99632	0.043
6.6	0.29	0.73	2.2	21	92	0.48	0.0	38a6c66c	12.4	0.99	0.027
6	0.38	0.26	3.5	38	111	0.47	0.0	0b4cfbcb	13.6	0.98872	0.035
6	0.38	0.26	3.5	38	111	0.47	0.0	387a6e60	13.6	0.98872	0.035
6.5	0.2	0.35	3.9	27	140	0.53	0.0	bbad04be	11.8	0.99102	0.04
6.6	0.17	0.26	7.4	45	128	0.37	0.0	e6c61680	10	0.99388	0.052
6.6	0.17	0.26	7.4	45	128	0.37	0.0	b5a9d471	10	0.99388	0.052
6.2	0.15	0.27	11	46	116	0.38	0.0	c332eaa1	9.1	0.99602	0.035
5.9	0.48	0.3	1.5	19	78	0.42	0.0	c40b2889	11.9	0.99057	0.037
5.3	0.4	0.25	3.9	45	130	0.58	0.0	004db8ca	11.75	0.99072	0.031
5.9	0.26	0.29	5.4	34	116	0.41	0.0	bdaba1e9	11.4	0.99224	0.046
5.2	0.3	0.34	1.5	18	96	0.48	0.0	e8d5b4ef	13	0.98942	0.038
6.4	0.32	0.25	5	28	138	0.5	0.0	b0015fc5	12.4	0.99171	0.055
6.6	0.19	0.25	1.2	34	181	0.42	0.0	ff8d23f4	9.4	0.99352	0.052
6.8	0.27	0.3	13	69	160	0.5	0.0	dd721123	9.6	0.99705	0.047
6.8	0.27	0.3	13	69	160	0.5	0.0	1a8fb5e4	9.6	0.99705	0.047
6.8	0.27	0.3	13	69	160	0.5	0.0	c08cccf5	9.6	0.99705	0.047
6.8	0.27	0.3	13	69	160	0.5	0.0	e0f91c6b	9.6	0.99705	0.047
6.4	0.28	0.45	8.6	47	223	0.51	0.0	73d5380c	9.1	0.99654	0.057
5.2	0.21	0.31	1.7	17	61	0.37	0.0	9ac15560	12	0.98953	0.048
7.1	0.24	0.34	1.2	6	132	0.46	0.0	bcace6e0	11.2	0.99132	0.045
5	0.27	0.4	1.2	42	124	0.47	0.0	f3945576	10.1	0.99204	0.076
5.8	0.27	0.4	1.2	47	130	0.45	0.0	fe5477b4	10.3	0.99185	0.076
5.9	0.27	0.32	2	31	102	0.56	0.0	bb1bc01e	12.3	0.98952	0.034
5.8	0.315	0.19	19.4	28	106	0.4	0.0	e59ec45c	10.55	0.99704	0.031
6	0.59	0	0.8	30	95	0.4	0.0	c2cc82fc	10.9	0.99032	0.037
5.8	0.3	0.09	6.3	36	138	0.48	0.0	e5853e53	9.7	0.99382	0.042
5.6	0.3	0.1	6.4	34	142	0.48	0.0	bd4566c0	9.8	0.99382	0.043
6.7	0.3	0.5	12.1	38	127	0.53	0.0	1106f84b	8.9	0.9974	0.045
6.7	0.3	0.5	12.1	38	127	0.53	0.0	06001149	8.9	0.9974	0.045
6.4	0.31	0.31	12.9	55	161	0.59	0.0	e54dbcc5	10.2	0.99546	0.045
6.9	0.25	0.29	2.4	28	76	0.36	0.0	b5bd4592	11.7	0.99088	0.038
4.4	0.32	0.39	4.3	31	127	0.36	0.0	4224a244	12.8	0.98904	0.03
3.9	0.225	0.4	4.2	29	118	0.36	0.0	e196cb56	12.8	0.989	0.03
6.4	0.31	0.31	12.9	55	161	0.59	0.0	d805ac3f	10.2	0.99546	0.045
5.5	0.62	0.33	1.7	24	118	0.39	0.0	77b3aa62	13.55	0.98758	0.037
6.2	0.3	0.42	2.2	28	128	0.38	0.0	e9b6c7e3	11.6	0.9901	0.036
6.7	0.3	0.5	12.1	38	127	0.53	0.0	e150978e	8.9	0.9974	0.045
4.7	0.785	0	3.4	23	134	0.92	0.0	e4ae3b1c	13.8	0.98981	0.036
6	0.31	0.32	7.4	47	159	0.5	0.0	b16e905f	9.4	0.9952	0.175
6	0.32	0.3	7.3	46	159	0.49	0.0	c5b9b7a0	9.4	0.99519	0.174
6.4	0.105	0.29	1.1	44	140	0.55	0.0	c700bc0a	10.7	0.99142	0.035
6.4	0.105	0.29	1.1	44	140	0.55	0.0	0a1fa9a3	10.7	0.99142	0.035
5.7	0.33	0.32	1.4	28	93	0.5	0.0	b59467f4	12.3	0.9897	0.043
5.9	0.32	0.19	14.5	37	115	0.43	0.0	f5ca2caf	10.3	0.99684	0.042
6.2	0.26	0.2	8	35	111	0.42	0.0	f59053ad	10.4	0.99445	0.047
6	0.2	0.33	1.1	45	126	0.45	0.0	481c5b38	11.6	0.99051	0.039
6.4	0.105	0.29	1.1	44	140	0.55	0.0	5c3a57fb	10.7	0.99142	0.035
5.8	0.28	0.34	2.2	24	125	0.33	0.0	64849798	12.8	0.98986	0.037
6.4	0.31	0.5	5.8	42	111	0.53	0.0	f96f1064	11.9	0.99189	0.038
6	0.35	0.46	0.9	9	65	0.35	0.0	bb25420e	12.1	0.98934	0.033
5.1	0.26	0.34	6.4	26	99	0.41	0.0	213be99d	9.2	0.99449	0.034
6.6	0.28	0.09	10.9	37	131	0.62	0.0	162b9e1b	9.5	0.99566	0.051
6	0.17	0.3	7.3	39	104	0.57	0.0	f054dca7	11	0.99252	0.039
7.3	0.35	0.67	8.3	10	100	0.5	0.0	cb068175	10.9	0.9959	0.053
6	0.26	0.24	1.3	66	150	0.62	0.0	946a5e36	10.4	0.9924	0.053
5.4	0.375	0.4	3.3	29	147	0.52	0.0	bddd26bc	9.1	0.99482	0.054
7	0.17	0.42	1	19	71	0.62	0.0	cbb24f74	11.4	0.99103	0.075
5.1	0.26	0.33	1.1	46	113	0.43	0.0	4c02e793	11.4	0.98946	0.027
5.8	0.36	0.5	1	63	178	0.45	0.0	41b63b0b	9.7	0.99212	0.127
5.7	0.4	0.35	5.1	17	113	0.67	0.0	7c9a1f70	12.4	0.99052	0.026
6.2	0.76	0.01	3.2	18	120	0.94	0.0	568e7388	13.7	0.99026	0.041
6.1	0.41	0.2	12.6	54	136	0.43	0.0	56749c37	10.6	0.99516	0.032
5.8	0.385	0.25	3.7	38	122	0.63	0.0	0660c01d	11.2	0.99128	0.031
6	0.27	0.4	1.7	18	82	0.95	0.0	c8d0db13	13.1333333333333	0.9891	0.021
5.7	0.4	0.35	5.1	17	113	0.67	0.0	75d9e8eb	12.4	0.99052	0.026
5.8	0.36	0.5	1	63	178	0.45	0.0	c9db540d	9.7	0.99212	0.127
7	0.24	0.47	1.3	18	131	0.45	0.0	f2f2306f	11	0.99176	0.043
6.8	0.23	0.48	1.5	35	165	0.45	0.0	5206b12b	11.3	0.99162	0.036
6.5	0.28	0.34	4.6	22	130	0.46	0.0	658c5680	12	0.99193	0.054
6.4	0.23	0.35	10.3	54	140	0.47	0.0	698a0b0b	9.2	0.9967	0.042
6	0.34	0.29	6.1	29	134	0.57	0.0	000ceef7	10.7	0.99462	0.046
6	0.34	0.29	6.1	29	134	0.57	0.0	a9fd88e1	10.7	0.99462	0.046
6.7	0.22	0.33	1.2	36	86	0.76	0.0	fde4d50f	11.4	0.99058	0.036
6.4	0.23	0.35	10.3	54	140	0.47	0.0	7aa7a8c6	9.2	0.9967	0.042
6	0.32	0.33	9.9	22	90	0.43	0.0	10d8ca20	12.1	0.99258	0.032
5.8	0.29	0.27	1.6	17	140	0.35	0.0	3a9ddece	11.1	0.99138	0.062
5.8	0.38	0.26	1.1	20	140	0.43	0.0	80f51dd1	9.7	0.99271	0.058
5.9	0.32	0.26	1.5	17	141	0.36	0.0	abec8722	10.7	0.9917	0.057
5.6	0.33	0.28	1.2	33	97	0.58	0.0	38886289	10.9	0.99126	0.031
5.9	0.37	0.3	1.5	35	95	0.56	0.0	e2dfb2bf	12	0.98986	0.033
5.6	0.295	0.26	1.1	40	102	0.56	0.0	872bc04f	10.6	0.99154	0.035
6.7	0.5	0.36	11.5	18	92	0.49	0.0	072ca7b7	9.6	0.99642	0.096
6.5	0.28	0.38	7.8	54	216	0.42	0.0	ef496b80	13.1	0.99154	0.031
5.3	0.275	0.24	7.4	28	114	0.51	0.0	876bbc1b	11	0.99313	0.038
5.2	0.405	0.15	1.45	10	44	0.4	0.0	b2cde7dd	11.6	0.99125	0.038
6.8	0.34	0.36	8.9	44	128	0.35	0.0	91b427dd	11.95	0.99318	0.029
5.7	0.22	0.25	1.1	97	175	0.62	0.0	53db1d0d	11.1	0.99099	0.05
6.2	0.28	0.57	1	50	92	0.36	0.0	c89c0087	11.5	0.99004	0.043
5.6	0.34	0.25	2.5	47	182	0.4	0.0	3dce2e5c	11.3	0.99093	0.046
4.8	0.29	0.23	1.1	38	180	0.34	0.0	82c44427	11.9	0.98924	0.044
6.6	0.38	0.29	2.4	15	93	0.6	0.0	e146029b	9.5	0.99336	0.136
5.1	0.3	0.3	2.3	40	150	0.46	0.0	cb732935	12.2	0.98944	0.048
4.4	0.54	0.09	5.1	52	97	0.4	0.0	8b1aba97	12.2	0.99022	0.038
7	0.36	0.35	2.5	67	161	0.56	0.0	9a6bffff	11.1	0.99146	0.048
6.4	0.33	0.44	8.9	52	164	0.48	0.0	1dbe68da	9.6	0.99488	0.055
7	0.36	0.35	2.5	67	161	0.56	0.0	7da77a8f	11.1	0.99146	0.048
6.4	0.33	0.44	8.9	52	164	0.48	0.0	44770e6b	9.6	0.99488	0.055
6.2	0.23	0.38	1.6	12	113	0.73	0.0	63381b4d	11.4	0.99176	0.044
5.2	0.25	0.23	1.4	20	77	0.62	0.0	61430a41	11.4	0.99001	0.047
6.2	0.35	0.29	3.9	22	79	0.59	0.0	8016bbfe	12.0666666666667	0.99005	0.041
7.1	0.23	0.39	13.7	26	172	0.46	0.0	a92bdf36	9	0.99755	0.058
7.1	0.23	0.39	13.7	26	172	0.46	0.0	c2e40faa	9	0.99755	0.058
7.5	0.38	0.33	9.2	19	116	0.42	0.0	054ecafb	11.4	0.99444	0.043
6.4	0.35	0.51	7.8	53	177	0.45	0.0	6a437233	9.6	0.99502	0.055
6	0.43	0.34	7.6	25	118	0.37	0.0	809aebfc	11	0.99222	0.045
6	0.52	0.33	7.7	24	119	0.38	0.0	28b8b033	11	0.99224	0.046
5.5	0.31	0.29	3	16	102	0.56	0.0	f0a30164	11.2	0.99067	0.027
5.9	0.22	0.3	1.3	42	86	0.47	0.0	5ef2c57e	11.55	0.99069	0.052
6.2	0.36	0.32	4	44	92	0.5	0.0	6b4d1c3a	13.3	0.98936	0.036
6	0.41	0.23	1.1	22	148	0.47	0.0	08443f48	9.63333333333333	0.99266	0.066
6.2	0.355	0.35	2	31	95	0.46	0.0	c0944fe5	13.6	0.98822	0.046
5.7	0.41	0.21	1.9	30	112	0.55	0.0	6c69fd96	11.2	0.99138	0.048
5.3	0.6	0.34	1.4	3	60	0.38	0.0	31caa504	13	0.98854	0.031
5.8	0.23	0.31	4.5	42	124	0.64	0.0	1aee522e	10.8	0.99324	0.046
6.6	0.24	0.33	10.1	8	81	0.51	0.0	ed05cb57	9.8	0.99626	0.032
6.1	0.32	0.28	6.6	29	132	0.36	0.0	5b5938cc	11.45	0.99188	0.021
5	0.2	0.4	1.9	20	98	0.55	0.0	6b5d8886	12.05	0.9897	0.015
9	0.17	0.49	1	46	131	0.51	0.0	9c4c2e7e	10.5	0.993	0.039
6.4	0.26	0.49	6.4	37	161	0.53	0.0	688eaa59	9.7	0.9954	0.037
9	0.22	0.49	10.4	52	195	0.44	0.0	40e71709	10.2	0.9987	0.048
8.9	0.32	0.49	1.6	17	131	0.34	0.0	372058ea	9.4	0.9956	0.05
8.2	0.2	0.49	3.5	14	108	0.35	0.0	ebf71ca7	11.5	0.9928	0.057
7.8	0.15	0.24	7.7	21	98	0.31	0.0	e5a4d5bb	9.6	0.9951	0.047
6.9	0.25	0.24	1.8	6	121	0.7	0.0	2d277328	11.4	0.993	0.053
8.2	0.2	0.49	3.5	14	108	0.35	0.0	5f34b996	11.5	0.9928	0.057
7.1	0.28	0.49	6.5	28	111	0.58	0.0	c55956f4	12.2	0.9926	0.041
7.4	0.19	0.49	6.7	15	110	0.38	0.0	c5ad020a	11	0.9938	0.037
8.3	0.25	0.49	16.8	50	228	0.52	0.0	0c98e415	9.2	1.0001	0.048
7.5	0.14	0.74	1.6	21	126	0.45	0.0	c7f7013d	10.2	0.9933	0.035
7.8	0.49	0.49	7	29	149	0.33	0.0	d60519c1	10	0.9952	0.043
8.1	0.12	0.49	1.2	43	160	0.48	0.0	7c8da15a	9.7	0.9934	0.042
7.6	0.47	0.49	13	42	220	0.51	0.0	2ff02c8a	9.2	0.9988	0.239
7.9	0.22	0.49	3.8	26	105	0.39	0.0	49bfda71	10.5	0.993	0.042
7.8	0.49	0.49	7	29	149	0.33	0.0	15357653	10	0.9952	0.043
6.4	0.22	0.49	7.5	42	151	0.52	0.0	bd949b3e	10.1	0.9948	0.054
7.3	0.19	0.49	15.55	50	134	0.36	0.0	afc880b5	9.1	0.9998	0.058
8.1	0.3	0.49	12.3	50	144	0.57	0.0	0ceb7874	10.2	0.9971	0.049
7.3	0.19	0.49	15.55	50	134	0.36	0.0	dda5d75f	9.1	0.9998	0.058
7.5	0.24	0.49	9.4	50	149	0.59	0.0	4a4ed3a1	10.5	0.9962	0.048
6.4	0.22	0.49	7.5	42	151	0.52	0.0	91868bda	10.1	0.9948	0.054
7.8	0.21	0.49	1.2	20	99	0.28	0.0	37694c53	12.1	0.99	0.036
7.1	0.3	0.49	1.6	31	100	0.59	0.0	4f7c9a2f	10.2	0.9942	0.045
6.9	0.26	0.49	1.6	39	166	0.52	0.0	814d1ec4	9.4	0.9965	0.058
7.6	0.31	0.49	3.95	27	131	0.67	0.0	d1ed148c	12.8	0.9912	0.044
6.4	0.42	0.74	12.8	48	209	0.58	0.0	7190de35	9	0.9978	0.076
8.2	0.29	0.49	1	29	118	0.36	0.0	224500d5	10.9	0.9928	0.044
7.9	0.33	0.28	31.6	35	176	0.38	0.0	5ff228c5	8.8	1.0103	0.053
6.6	0.46	0.49	7.4	19	184	0.38	0.0	725347c7	9	0.9956	0.052
7.8	0.28	0.49	1.3	27	142	0.59	0.0	bb6dbc2c	10.2	0.9936	0.046
5.8	0.15	0.49	1.1	21	98	0.48	0.0	496c2a42	9.2	0.9929	0.048
7.8	0.4	0.49	7.8	34	162	0.58	0.0	c28e24d4	11.3	0.9966	0.06
6.6	0.31	0.49	7.7	52	220	0.45	0.0	4f8a1d93	8.8	0.9964	0.05
6.6	0.325	0.49	7.7	53	217	0.4	0.0	e9292b18	9.3	0.996	0.049
6.6	0.27	0.49	7.8	62	217	0.45	0.0	6e2eab54	9.4	0.9959	0.049
6.7	0.26	0.49	8.3	54	191	0.4	0.0	2413fd0a	10.3	0.9954	0.047
6.7	0.21	0.49	1.4	30	114	0.42	0.0	7042e8b9	10.8	0.9914	0.047
7.9	0.33	0.28	31.6	35	176	0.38	0.0	28a0bc7c	8.8	1.0103	0.053
8.1	0.28	0.46	15.4	32	177	0.58	0.0	e77f6253	9	1.0004	0.059
6.5	0.13	0.37	1	48	114	0.51	0.0	1440dae5	11.5	0.9911	0.036
7.8	0.445	0.56	1	8	84	0.43	0.0	1a41b9a2	10.8	0.9938	0.04
8.8	0.39	0.34	5.9	33	128	0.51	0.0	28a33c06	11.8	0.9927	0.055
7.9	0.18	0.33	1.2	20	72	0.38	0.0	fabd9caf	10.5	0.9922	0.033
7.1	0.31	0.38	1.2	10	124	0.44	0.0	02bdc4fc	9.9	0.9924	0.036
7.8	0.24	0.18	6.7	33	160	0.56	0.0	5ba6458b	9.8	0.9963	0.046
7	0.35	0.3	6.5	27	87	0.42	0.0	c0d11b91	11.4	0.9936	0.028
6.6	0.26	0.31	4.8	41	168	0.38	0.0	481f3bdd	9.3	0.9951	0.138
6.6	0.27	0.31	5.3	35	163	0.38	0.0	84ee6742	9.3	0.9951	0.137
6.8	0.22	0.29	8.9	82	188	0.44	0.0	fd8fb864	10.3	0.9955	0.046
6.2	0.27	0.32	8.8	65	224	0.47	0.0	2a93dfc7	8.9	0.9961	0.047
7	0.35	0.3	6.5	27	87	0.42	0.0	b57ffa5f	11.4	0.9936	0.028
7.3	0.23	0.37	1.8	60	156	0.35	0.0	672a9490	11.1	0.992	0.032
6.2	0.3	0.2	6.6	42	170	0.45	0.0	14ac12ac	10.4	0.9944	0.045
6.4	0.35	0.2	5.7	18	117	0.43	0.0	af68625a	10.1	0.9944	0.034
7.6	0.32	0.34	18.35	44	197	0.55	0.0	dfb38bdd	9	1.0008	0.054
6.3	0.31	0.3	10	49	212	0.55	0.0	a96d9e71	11.9	0.9962	0.046
7.2	0.25	0.28	14.4	55	205	0.38	0.0	4be812b3	9	0.9986	0.055
7.2	0.25	0.28	14.4	55	205	0.38	0.0	2ac749d1	9	0.9986	0.055
7.3	0.26	0.33	17.85	41.5	195	0.44	0.0	f15153d1	9.1	1	0.049
7.2	0.25	0.28	14.4	55	205	0.38	0.0	68ec7334	9	0.9986	0.055
7.4	0.26	0.37	9.4	42	147	0.72	0.0	3969271a	10	0.9982	0.047
7.3	0.26	0.33	17.85	41.5	195	0.44	0.0	4b296ef6	9.1	1	0.049
6.7	0.25	0.26	1.55	118.5	216	0.63	0.0	cbb6cbc0	9.4	0.9949	0.041
7.1	0.16	0.25	1.3	28	123	0.55	0.0	fd69b82b	11.4	0.9915	0.034
9	0.43	0.3	1.5	7	175	0.45	0.0	8f99e2cd	9.7	0.9951	0.05
7.2	0.25	0.28	14.4	55	205	0.38	0.0	494179a9	9	0.9986	0.055
7	0.24	0.3	4.2	41	213	0.49	0.0	fc8a214d	11.8	0.9927	0.04
6.7	0.265	0.22	8.6	54	198	0.41	0.0	e9333d0c	10.2	0.9955	0.048
7.7	0.12	0.32	1.4	47	150	0.42	0.0	32f8d1ef	9.2	0.9952	0.06
7.2	0.21	0.33	3	35	132	0.4	0.0	d4bcf14c	11	0.9928	0.036
8.5	0.32	0.36	14.9	47	190	0.31	0.0	32d4a88c	10	0.9982	0.041
6.9	0.18	0.3	2	39	190	0.37	0.0	fe8038ef	12.2	0.9914	0.038
7	0.24	0.3	4.2	41	213	0.49	0.0	1a7a91ac	11.8	0.9927	0.04
6.3	0.26	0.29	2.2	35	175	0.43	0.0	15dc1a25	11.6	0.9918	0.043
6.7	0.26	0.3	1.8	25	121	0.61	0.0	042c2911	10.2	0.9944	0.043
7.9	0.29	0.36	11.1	43	208	0.46	0.0	a57188f3	10.3	0.9969	0.033
6.5	0.27	0.19	4.2	6	114	0.35	0.0	69f73ae3	8.6	0.9955	0.046
6.7	0.33	0.42	6.4	27	151	0.44	0.0	734ab0f1	9.6	0.9954	0.058
6.7	0.31	0.42	6.4	25	148	0.45	0.0	eb693719	9.6	0.9955	0.057
6.6	0.25	0.31	1.5	32	127	0.47	0.0	c30be2cf	11.3	0.9921	0.035
6.4	0.24	0.22	1.5	38	157	0.55	0.0	03e18bd8	9.9	0.9934	0.038
6.8	0.26	0.29	16.95	48	179	0.4	0.0	824c6a54	9.6	0.9998	0.056
7	0.61	0.26	1.7	25	161	0.6	0.0	a3a53abf	10.6	0.9946	0.051
6.8	0.22	0.3	13.6	50	180	0.39	0.0	c561b7a2	9.8	0.9984	0.055
8.1	0.31	0.24	1.6	10	67	0.47	0.0	58af9cd6	10.5	0.9924	0.032
7	0.2	0.3	6.1	31	120	0.51	0.0	44d7ea8b	10.8	0.9939	0.037
7.9	0.18	0.37	3	25	178	0.51	0.0	bd78debe	10	0.995	0.061
6.6	0.34	0.27	6.2	23	136	0.49	0.0	58d75e3e	10.1	0.9957	0.059
6.8	0.3	0.24	6.6	35	116	0.48	0.0	9696b563	9.4	0.9953	0.123
6.5	0.18	0.34	1.6	43	148	0.59	0.0	40f1071e	11.5	0.9912	0.04
7	0.21	0.31	6	29	108	0.5	0.0	cc2974dc	10.8	0.9939	0.046
6.8	0.27	0.32	1.5	19	142	0.43	0.0	b5d2bfc1	9.9	0.9921	0.044
9.3	0.2	0.33	1.7	28	178	0.43	0.0	efb32c3d	9	0.9954	0.05
5.8	0.23	0.27	1.8	24	69	0.31	0.0	94f3a733	9.4	0.9933	0.043
7.6	0.2	0.39	2.6	30	180	0.44	0.0	7781ffe1	10.8	0.9941	0.044
8.2	0.15	0.48	2.7	24	190	0.45	0.0	37a4368a	10.9	0.995	0.052
7.5	0.4	1	19.5	33	148	0.38	0.0	7cf9f7e6	12	0.9977	0.041
6.5	0.18	0.34	1.6	43	148	0.59	0.0	2885795a	11.5	0.9912	0.04
7	0.13	0.3	5	31	122	0.42	0.0	3ec36d0c	10.5	0.9945	0.056
6.9	0.17	0.22	4.6	55	152	0.37	0.0	06717b8c	9.3	0.9952	0.064
7	0.3	0.32	6.4	28	97	0.44	0.0	1e4208bc	11.8	0.9924	0.034
7.6	0.445	0.44	14.5	68	212	0.36	0.0	c0066e75	10	0.9986	0.045
6.8	0.3	0.24	6.6	35	116	0.48	0.0	b41a272c	9.4	0.9953	0.123
7.5	0.22	0.33	6.7	45	138	0.68	0.0	1c4acb7e	11.4	0.9939	0.036
9.2	0.23	0.3	1.1	40	99	0.3	0.0	f41a4fbb	10.4	0.9929	0.031
8.7	0.34	0.46	13.8	68	198	0.37	0.0	e88baecb	9.5	0.9988	0.055
6.6	0.545	0.04	2.5	48	111	0.32	0.0	522f493e	11.9	0.9906	0.031
8.1	0.3	0.31	1.1	49	123	0.45	0.0	3df09cc3	11.1	0.9914	0.041
6.9	0.16	0.3	9.6	50	185	0.38	0.0	c52e5fbe	9.6	0.9978	0.057
8	0.32	0.36	4.6	56	178	0.47	0.0	02d2a8db	12	0.9928	0.042
6.1	0.22	0.23	3.1	15	104	0.42	0.0	4ddeaf4f	8.7	0.9948	0.052
6.9	0.16	0.3	9.6	50	185	0.38	0.0	2a57be26	9.6	0.9978	0.057
7.5	0.15	0.38	1.8	19	101	0.44	0.0	216ec483	10	0.9946	0.054
8.4	0.29	0.29	1.05	4	55	0.32	0.0	beffb1a2	11.4	0.9908	0.032
6.6	0.37	0.47	6.5	23	150	0.45	0.0	afdf4081	9.6	0.9954	0.061
7.7	0.38	0.4	2	28	152	0.32	0.0	474774bf	12.9	0.9906	0.038
6.3	0.25	0.23	14.9	47	142	0.35	0.0	d3bc5e53	9.7	0.99705	0.039
8.3	0.3	0.36	10	33	169	0.51	0.0	a0ea2cf6	9.3	0.9982	0.042
6.6	0.22	0.58	1.1	52	136	0.3	0.0	b0a2124a	9.1	0.9932	0.133
6.1	0.34	0.31	12	46	238	0.48	0.0	ce23a178	8.6	0.9977	0.053
7.5	0.22	0.29	4.8	33	87	0.42	0.0	b222eab3	9.9	0.994	0.05
8.3	0.3	0.36	10	33	169	0.51	0.0	40f24d55	9.3	0.9982	0.042
8	0.27	0.24	1.2	20	102	0.42	0.0	164a4919	10.9	0.9929	0.044
6.1	0.17	0.27	1.5	45	135	0.43	0.0	80134741	10.2	0.9924	0.056
7.4	0.18	0.3	10.4	44	174	0.57	0.0	65b8d2e2	9.7	0.9966	0.045
6.7	0.16	0.28	2.5	40	153	0.51	0.0	e626d75f	11.4	0.9921	0.046
6.1	0.255	0.44	12.3	53	197	0.54	0.0	b78d7e07	9.5	0.9967	0.045
7.4	0.23	0.25	1.4	43	141	0.54	0.0	6d104152	10.2	0.9934	0.049
6.4	0.16	0.28	2.2	33	93	0.43	0.0	7f816958	11.1	0.9914	0.042
6.3	0.25	0.23	14.9	47	142	0.35	0.0	5ee16947	9.7	0.99705	0.039
6.7	0.27	0.25	8	54	202	0.43	0.0	a6ab36ee	9.3	0.9961	0.053
6.9	0.29	0.23	8.6	56	215	0.44	0.0	3e604a8d	8.8	0.9967	0.056
9.6	0.21	0.28	1.2	12	53	0.46	0.0	02bb88d1	10.6	0.9926	0.038
6.6	0.62	0.2	8.7	81	224	0.44	0.0	d797fde9	9.3	0.99605	0.046
6.4	0.28	0.19	5.4	67	181	0.35	0.0	ecf9919c	10.2	0.99435	0.042
8	0.3	0.28	5.7	31	124	0.51	0.0	2cfe0872	10.2	0.9948	0.044
6.4	0.17	0.27	1.5	20	98	0.42	0.0	1e4251ab	11	0.9916	0.037
7.3	0.21	0.3	10.9	18	112	0.5	0.0	8cb2aa6e	9.6	0.997	0.037
6.7	0.27	0.25	8	54	202	0.43	0.0	e55f2623	9.3	0.9961	0.053
6.9	0.29	0.23	8.6	56	215	0.44	0.0	b28fad03	8.8	0.9967	0.056
6.6	0.32	0.26	7.7	56	209	0.45	0.0	00c495c7	8.8	0.9961	0.054
7.4	0.32	0.22	1.7	50	179	0.69	0.0	56c54232	8.9	0.9955	0.051
6.6	0.37	0.07	1.4	58	144	0.38	0.0	aab94e8c	10	0.9922	0.048
7.7	0.43	0.28	4.5	33	102	0.56	0.0	9f16c9e1	12.2	0.9918	0.046
7.8	0.39	0.26	9.9	33	181	0.42	0.0	c90434e5	10.9	0.9955	0.059
6.5	0.18	0.26	1.4	40	141	0.72	0.0	1aeadf66	9.5	0.9941	0.041
7.8	0.4	0.26	9.5	32	178	0.43	0.0	e3f19c40	10.9	0.9955	0.059
7.8	0.39	0.26	9.9	33	181	0.42	0.0	df9a04fb	10.9	0.9955	0.059
6.9	0.19	0.28	3	33	99	0.4	0.0	47fd50ed	10.8	0.9924	0.054
7.7	0.49	1	19.6	28	135	0.4	0.0	b6400f53	12	0.9973	0.03
6.6	0.25	0.35	14	42	163	0.47	0.0	73f8c128	9.8	0.999	0.069
6.5	0.18	0.26	1.4	40	141	0.72	0.0	63eb4cc5	9.5	0.9941	0.041
6.4	0.15	0.36	1.8	43	150	0.69	0.0	3601a58c	11	0.9922	0.034
6.4	0.15	0.36	1.8	43	150	0.69	0.0	4a5962a5	11	0.9922	0.034
8.4	0.17	0.31	5.4	47	150	0.38	0.0	428eeebc	9.8	0.9953	0.052
6.1	0.32	0.37	1.8	13	200	0.44	0.0	7c87ded2	10.5	0.9945	0.051
8.5	0.21	0.26	9.25	73	142	0.37	0.0	9f69e7e1	11.4	0.9945	0.034
8.7	0.45	0.4	1.5	17	100	0.57	0.0	a866ae08	10.1	0.9957	0.067
6.7	0.24	0.29	6.8	54	127	0.46	0.0	479371b3	11.6	0.9932	0.038
8.5	0.21	0.26	9.25	73	142	0.37	0.0	00da3464	11.4	0.9945	0.034
7.4	0.33	0.26	2.6	29	115	0.52	0.0	95ae43f9	11.8	0.9913	0.04
7.2	0.26	0.3	2.1	50	158	0.43	0.0	496163d2	12.1	0.9909	0.033
8.2	0.36	0.29	7.6	37	122	0.34	0.0	242e40f4	12	0.9939	0.035
7.8	0.2	0.24	1.6	26	189	0.74	0.0	a30ce15d	12.1	0.991	0.026
9.4	0.16	0.3	1.4	26	176	0.46	0.0	5ab87b09	9.1	0.9954	0.042
6.4	0.33	0.24	1.6	25	117	0.5	0.0	2cbde728	9.3	0.9943	0.054
7.8	0.22	0.36	1.4	21	153	0.53	0.0	ffb6c35a	10.4	0.993	0.056
7.4	0.35	0.31	17.95	42	187	0.64	0.0	82f30683	9.1	1.0002	0.062
6.6	0.37	0.24	2	23	120	0.54	0.0	c6bede82	9.4	0.9946	0.064
6.7	0.37	0.41	6.3	22	149	0.47	0.0	436547d9	9.6	0.9953	0.061
7.1	0.37	0.32	1.4	27	126	0.62	0.0	042b954a	12	0.9918	0.037
6.9	0.25	0.27	9.05	37	128	0.34	0.0	863fddfa	11.3	0.9936	0.039
6.8	0.23	0.29	15.4	56	173	0.41	0.0	6efc44eb	8.7	0.9984	0.073
6.4	0.26	0.21	7.1	35	162	0.58	0.0	46a9a5a9	9.9	0.9956	0.04
7.6	0.3	0.22	10.2	57	191	0.4	0.0	6919da83	9.3	0.9966	0.049
9.4	0.16	0.23	1.6	14	67	0.32	0.0	9baf2f80	9.5	0.9942	0.042
6.8	0.23	0.29	15.4	56	173	0.41	0.0	37b4acd6	8.7	0.9984	0.073
6.4	0.26	0.21	7.1	35	162	0.58	0.0	921cfaad	9.9	0.9956	0.04
7.6	0.3	0.22	10.2	57	191	0.4	0.0	6a4b7068	9.3	0.9966	0.049
7.5	0.33	0.39	12.4	29	119	0.39	0.0	b9472ce0	9.4	0.9974	0.065
7.6	0.38	0.2	3.4	9	116	0.41	0.0	7d2866b5	9.4	0.9944	0.046
8.8	0.2	0.43	15	60	184	0.79	0.0	2c062d9b	8.8	1.0008	0.053
7.5	0.33	0.39	12.4	29	119	0.39	0.0	793b48ad	9.4	0.9974	0.065
8.8	0.2	0.43	15	60	184	0.79	0.0	397e812f	8.8	1.0008	0.053
6.6	0.36	0.21	1.5	39	184	0.41	0.0	09e2c0ce	9.9	0.9928	0.049
7.6	0.38	0.2	3.4	9	116	0.41	0.0	043ee591	9.4	0.9944	0.046
5.6	0.46	0.24	4.8	24	72	0.37	0.0	c9f4f541	12.6	0.9908	0.042
7.2	0.15	0.38	1.2	18	110	0.43	0.0	8cabba8b	11.1	0.9917	0.038
8.2	0.42	0.29	4.1	31	100	0.32	0.0	5e1c4275	12.8	0.9911	0.03
6.8	0.3	0.35	2.8	10	164	0.53	0.0	c139a741	12	0.9912	0.038
6.7	0.27	0.3	13.9	34	131	0.5	0.0	393906c4	12	0.9953	0.029
7.2	0.5	0	0.8	46	114	0.34	0.0	172e9a2e	9.2	0.9932	0.034
6	0.26	0.29	1	27	96	0.44	0.0	2d82943f	12.3	0.9896	0.032
6.8	0.33	0.28	1.2	38	131	0.41	0.0	0398a877	13	0.9889	0.032
6.8	0.3	0.35	2.8	10	164	0.53	0.0	c4c35a26	12	0.9912	0.038
7.4	0.29	0.31	1.7	23	110	0.38	0.0	daac3d7f	10.9	0.9926	0.035
8.2	0.42	0.29	4.1	31	100	0.32	0.0	975cb7e2	12.8	0.9911	0.03
7.3	0.19	0.24	6.3	34	231	0.54	0.0	47f03859	10	0.9964	0.054
6.5	0.32	0.12	11.5	35	165	0.32	0.0	7d870fc1	9	0.9974	0.033
7.1	0.32	0.4	1.5	13	84	0.6	0.0	46358f5a	10.4	0.9944	0.034
6.5	0.32	0.12	11.5	35	165	0.32	0.0	3e3144d5	9	0.9974	0.033
7.3	0.19	0.24	6.3	34	231	0.54	0.0	aa08a3b4	10	0.9964	0.054
7.3	0.17	0.23	6.3	35	240	0.54	0.0	254e069c	10	0.9963	0.051
7.7	0.44	0.24	11.2	41	167	0.43	0.0	8f206d12	11.3	0.9948	0.031
7.7	0.44	0.24	11.2	41	167	0.43	0.0	7f905ca3	11.3	0.9948	0.031
7.4	0.49	0.24	15.1	34	153	0.51	0.0	9e36de38	12	0.9953	0.03
7.7	0.44	0.24	11.2	41	167	0.43	0.0	bec22319	11.3	0.9948	0.031
7.4	0.49	0.24	15.1	34	153	0.51	0.0	1865a156	12	0.9953	0.03
6.4	0.21	0.3	5.6	43	160	0.41	0.0	52802cb0	10.6	0.9949	0.044
8	0.55	0.42	12.6	37	213	0.56	0.0	52a76601	9.3	0.9988	0.211
7	0.19	0.23	5.7	27	104	0.54	0.0	5f26ca6f	9.4	0.9954	0.123
7.2	0.24	0.29	2.2	37	102	0.64	0.0	45fd34fd	11	0.992	0.037
6.5	0.34	0.36	11	53	247	0.55	0.0	26bd7ba8	9.3	0.9984	0.052
7	0.19	0.23	5.7	27	104	0.54	0.0	192387ee	9.4	0.9954	0.123
6.9	0.18	0.33	1	24	164	0.51	0.0	fa2443d3	10.5	0.9926	0.054
7.2	0.24	0.29	2.2	37	102	0.64	0.0	fb1ea319	11	0.992	0.037
8.2	0.18	0.31	11.8	96	249	0.52	0.0	31023e46	9.5	0.9976	0.039
8.3	0.28	0.45	7.8	32	139	0.77	0.0	126c802a	11.2	0.9972	0.059
6.1	0.34	0.46	4.7	21	94	0.62	0.0	f91b3a4f	12.3	0.991	0.029
7.4	0.44	0.2	11.5	44	157	0.44	0.0	31df90e6	9	0.998	0.049
7.6	0.26	0.58	7.9	62	180	0.38	0.0	54e915b3	9	0.9966	0.041
7.4	0.44	0.2	11.5	44	157	0.44	0.0	aea399a2	9	0.998	0.049
8.7	0.49	0.57	17.8	34	243	0.82	0.0	fcaa65c2	9	1.0007	0.052
7	0.24	0.25	1.7	48	189	0.42	0.0	26789553	11.4	0.992	0.042
7.1	0.25	0.25	1.6	50	181	0.42	0.0	29b44bab	11	0.9925	0.046
6.1	0.34	0.46	4.7	21	94	0.62	0.0	847fc7e7	12.3	0.991	0.029
6.4	0.18	0.31	1.6	36	127	0.67	0.0	5e1be7e3	10.4	0.9934	0.049
8.3	0.27	0.39	2.4	16	107	0.59	0.0	2859635a	10.3	0.9955	0.058
6.8	0.24	0.35	6.4	44	172	0.55	0.0	d1fe3e45	10.5	0.9944	0.048
8	0.22	0.28	14	83	197	0.45	0.0	c977cc19	9.8	0.9981	0.053
10	0.91	0.42	1.6	34	181	0.46	0.0	f7810301	10	0.9968	0.056
8.9	0.34	0.34	1.6	13	176	0.47	0.0	eaf77db6	9.7	0.9946	0.056
8.9	0.33	0.34	1.4	14	171	0.47	0.0	fb68710d	9.7	0.9946	0.056
8	0.22	0.28	14	83	197	0.45	0.0	882aaba8	9.8	0.9981	0.053
6.7	0.18	0.19	4.7	57	161	0.66	0.0	f531f631	10.5	0.9946	0.046
7.8	0.2	0.28	10.2	78	186	0.46	0.0	42133ba5	10	0.997	0.054
7.3	0.13	0.31	2.3	22	104	0.92	0.0	49d80d0a	11.5	0.9924	0.054
6.6	0.28	0.3	7.8	57	202	0.39	0.0	34405aab	9.5	0.9958	0.049
7.1	0.25	0.3	2.4	25	122	0.61	0.0	e1775cc3	10.5	0.994	0.042
7.6	0.36	0.44	8.3	28	142	0.43	0.0	470edee0	10.2	0.9958	0.255
7.6	0.27	0.25	13.9	45	199	0.5	0.0	3a94f8bb	9.8	0.9984	0.05
6.9	0.37	0.28	13.8	34	137	0.37	0.0	53bf45e1	11.6	0.9948	0.031
7.4	0.21	0.27	7.3	41	144	0.38	0.0	9c728649	11.8	0.9932	0.031
8.2	0.18	0.28	8.5	41	140	0.37	0.0	e3f4ef66	10.1	0.9952	0.035
6.3	0.19	0.21	1.8	35	163	0.5	0.0	f8b5a568	10.3	0.9924	0.049
7	0.21	0.22	5.1	38	168	0.49	0.0	4750ad65	10.4	0.9945	0.048
5.8	0.33	0.2	16.05	26	166	0.46	0.0	ca0c3b2c	8.9	0.9976	0.047
5.8	0.33	0.2	16.05	26	166	0.46	0.0	9bd5e549	8.9	0.9976	0.047
7.9	0.29	0.31	7.35	37	154	0.31	0.0	c83fb68e	10.8	0.9938	0.034
6.6	0.31	0.38	16.05	16	165	0.6	0.0	e34779d8	9.2	0.9997	0.058
8	0.19	0.3	2	48	140	0.49	0.0	4c0b768d	9.6	0.994	0.053
8	0.2	0.36	1.2	21	78	0.37	0.0	06f5cf01	10.4	0.9921	0.032
8	0.25	0.26	14	41	248	0.57	0.0	303d5230	8.7	0.9986	0.043
7.2	0.2	0.61	16.2	14	103	0.36	0.0	123cdf56	9.2	0.9987	0.043
7.7	0.3	0.42	14.3	45	213	0.63	0.0	c19e2a20	9.2	0.9991	0.045
7.2	0.2	0.61	16.2	14	103	0.36	0.0	ad8d45e6	9.2	0.9987	0.043
7.7	0.3	0.42	14.3	45	213	0.63	0.0	9d23afb6	9.2	0.9991	0.045
7.7	0.3	0.42	14.3	45	213	0.63	0.0	16e08aef	9.2	0.9991	0.045
6.4	0.22	0.32	7.9	34	124	0.39	0.0	55cef4ea	10.2	0.9948	0.029
7.2	0.2	0.61	16.2	14	103	0.36	0.0	51105dfc	9.2	0.9987	0.043
7	0.53	0.02	1	39	107	0.32	0.0	421de811	9	0.993	0.036
7.3	0.24	0.41	13.6	41	178	0.43	0.0	158d002f	9.7	0.9988	0.05
7.2	0.24	0.4	17.85	50	185	0.42	0.0	2d7921ff	9.6	1	0.049
7.6	0.15	0.4	1.3	24	112	0.76	0.0	ea53ddd6	10	0.9932	0.036
7.7	0.3	0.42	14.3	45	213	0.63	0.0	7e1918b7	9.2	0.9991	0.045
7.6	0.33	0.41	13.7	44	197	0.64	0.0	1a2340c6	9.1	0.9989	0.045
6.8	0.24	0.31	18.3	40	142	0.41	0.0	cda72c25	8.7	1	0.046
6.8	0.24	0.31	18.3	40	142	0.41	0.0	834dcd40	8.7	1	0.046
6.8	0.35	0.44	6.5	31	161	0.44	0.0	4bb1ab81	9.5	0.9952	0.056
7.9	0.26	0.33	10.3	73	212	0.49	0.0	1610d204	9.5	0.9969	0.039
7.5	0.29	0.67	8.1	53	166	0.41	0.0	7eeba7f0	8.9	0.9966	0.037
7.5	0.29	0.67	8.1	53	166	0.41	0.0	806944be	8.9	0.9966	0.037
7.2	0.31	0.41	8.6	15	89	0.64	0.0	d70dcfc0	9.9	0.9976	0.053
6.7	0.44	0.31	1.9	41	104	0.62	0.0	fd9769d4	12.6	0.99	0.03
10	0.23	0.27	14.1	45	166	0.43	0.0	a617d737	9.7	0.9988	0.033
7.4	0.21	0.3	7.9	14	118	0.34	0.0	5e4e2331	10.4	0.9942	0.039
8.8	0.23	0.35	10.7	26	183	0.49	0.0	331b2771	9.1	0.9984	0.04
7.8	0.34	0.27	1.2	25	106	0.55	0.0	a04cba87	10.4	0.9932	0.04
7.9	0.26	0.33	10.3	73	212	0.49	0.0	b39ba0da	9.5	0.9969	0.039
7.5	0.29	0.67	8.1	53	166	0.41	0.0	9480e964	8.9	0.9966	0.037
6	0.28	0.35	1.9	16	120	0.69	0.0	43256c30	10.6	0.9933	0.037
7.9	0.37	0.3	2.7	64	158	0.59	0.0	60063224	12	0.9916	0.029
7.2	0.36	0.36	5.7	26	98	0.59	0.0	b79910e4	12.5	0.9914	0.038
7.6	0.13	0.34	9.3	40	126	0.39	0.0	7d86c959	9.6	0.9966	0.062
6.6	0.25	0.36	8.1	54	180	0.42	0.0	83a6e99a	9.2	0.9958	0.045
7.1	0.18	0.26	1.3	20	71	0.74	0.0	329d646b	9.9	0.9926	0.041
7.9	0.3	0.27	8.5	20	112	0.46	0.0	3f8ee92a	11.7	0.9939	0.036
8.3	0.23	0.3	2.1	21	153	0.5	0.0	568d5bda	9.6	0.9953	0.049
6.8	0.43	0.3	3.5	27	135	0.37	0.0	71b376de	12	0.9906	0.033
7.2	0.36	0.36	5.7	26	98	0.59	0.0	d62722cf	12.5	0.9914	0.038
6.6	0.25	0.36	8.1	54	180	0.42	0.0	deaa9fef	9.2	0.9958	0.045
7.1	0.18	0.26	1.3	20	71	0.74	0.0	6fe637c5	9.9	0.9926	0.041
6.6	0.35	0.29	14.4	54	177	0.58	0.0	43881677	8.9	0.9991	0.044
7.3	0.22	0.5	13.7	56	189	0.66	0.0	8ce11908	9	0.9994	0.049
8.1	0.26	0.33	11.1	52.5	158	0.49	0.0	b3bcd942	10.2	0.9976	0.052
7.6	0.13	0.34	9.3	40	126	0.39	0.0	bc11f8a7	9.6	0.9966	0.062
7	0.12	0.19	4.9	27	127	0.41	0.0	5331ad54	9.4	0.9953	0.055
8.2	0.37	0.27	1.7	10	59	0.48	0.0	e928683b	10.4	0.9923	0.028
7.6	0.26	0.36	1.6	6	106	0.4	0.0	d62857a9	10.4	0.993	0.032
6.3	0.2	0.58	1.4	15	97	0.43	0.0	4b77c097	10	0.9931	0.204
6.3	0.22	0.57	1.4	14	96	0.43	0.0	1910149c	10	0.9932	0.208
7.1	0.25	0.28	1.6	46	169	0.41	0.0	d248a6d7	10.5	0.9926	0.052
7	0.27	0.32	6.8	47	193	0.39	0.0	54a558da	11.4	0.9938	0.047
8.8	0.34	0.33	9.7	46	172	0.4	0.0	085bdb54	10.2	0.9966	0.036
9.2	0.27	0.34	10.5	49	228	0.41	0.0	3f95efc6	10.4	0.9974	0.043
7.1	0.49	0.22	2	146.5	307.5	0.37	0.0	3eefbccc	11	0.9924	0.047
9.2	0.71	0.23	6.2	15	93	0.34	0.0	f6d5234a	10.1	0.9948	0.042
7.2	0.47	0.65	8.3	27	182	0.35	0.0	0c7a6069	9.2	0.9964	0.083
6.8	0.28	0.36	1.6	25	87	0.66	0.0	c63512df	10.3	0.9924	0.04
8.8	0.34	0.33	9.7	46	172	0.4	0.0	f2590e11	10.2	0.9966	0.036
9.2	0.27	0.34	10.5	49	228	0.41	0.0	dc6ba86a	10.4	0.9974	0.043
7.3	0.13	0.27	4.6	34	172	0.39	0.0	eb58deca	11.1	0.9938	0.08
7.2	0.16	0.35	1.2	27	84	0.34	0.0	20505633	9.9	0.9928	0.031
6.8	0.31	0.32	7.6	35	143	0.38	0.0	6d0874f6	9	0.9959	0.052
8.3	0.36	0.57	15	35	256	0.64	0.0	58578f86	8.6	1.0001	0.052
6.8	0.31	0.32	7.6	35	143	0.38	0.0	54907404	9	0.9959	0.052
8.3	0.36	0.57	15	35	256	0.64	0.0	1da1985a	8.6	1.0001	0.052
6.3	0.25	0.44	11.6	48	195	0.52	0.0	67d6670c	9.5	0.9968	0.041
6	0.45	0.42	1.1	61	197	0.4	0.0	c8e78280	9	0.9932	0.051
8.1	0.26	0.3	7.8	39	152	0.58	0.0	bc1a9179	10	0.9954	0.049
6.4	0.22	0.32	12	57	158	0.43	0.0	23fd522a	9	0.9992	0.066
5.7	0.45	0.42	1.1	61	197	0.4	0.0	27cf9d6f	9	0.9932	0.051
7.2	0.19	0.31	1.4	37	135	0.57	0.0	aee7f67d	10.2	0.9939	0.046
6.7	0.31	0.44	6.7	29	160	0.44	0.0	6cbbe062	9.6	0.9952	0.054
8	0.25	0.13	17.2	49	219	0.46	0.0	1234c693	9.7	0.9996	0.036
9.9	1.005	0.46	1.4	34	185	0.49	0.0	5a04372c	10.2	0.9966	0.046
8.1	0.31	0.36	8.2	29	142	0.34	0.0	b3de7379	13	0.9925	0.028
8.1	0.24	0.38	4.3	49	172	0.74	0.0	cecb33a9	10.8	0.996	0.044
8	0.25	0.13	17.2	49	219	0.46	0.0	9ab88629	9.7	0.9996	0.036
6.4	0.29	0.28	11.1	66	169	0.57	0.0	bbd1a6e2	9	0.9973	0.063
7.2	0.15	0.33	1.1	16	63	0.4	0.0	e8c88859	9.9	0.9937	0.027
7	0.12	0.32	7.2	22	89	0.38	0.0	81063652	9.2	0.9966	0.058
7.4	0.32	0.55	16.6	53	238	0.58	0.0	1f78d814	8.7	1.0017	0.056
8.5	0.17	0.31	1	13	91	0.37	0.0	39050bfd	10.1	0.993	0.024
8.5	0.17	0.31	1	13	91	0.37	0.0	01af5527	10.1	0.993	0.024
9.5	0.21	0.47	1.3	21	123	0.64	0.0	4becb93b	9.5	0.9959	0.039
8.2	0.21	0.48	1.4	11	99	0.57	0.0	7550a77c	9.9	0.9958	0.041
7.4	0.32	0.55	16.6	53	238	0.58	0.0	addde5cb	8.7	1.0017	0.056
6.8	0.31	0.42	6.9	50	173	0.46	0.0	d6d7b40a	9	0.9958	0.046
6.8	0.27	0.28	13.3	50	163	0.38	0.0	f4fa91bc	8.6	0.9979	0.076
7.4	0.21	0.3	8.1	13	114	0.35	0.0	99ec1437	10.5	0.9941	0.047
8	0.23	0.35	9.2	53	186	0.56	0.0	1dc59f18	9.5	0.997	0.044
7.6	0.2	0.31	1.4	41	142	0.53	0.0	fb482cb0	10.1	0.9934	0.047
6.3	0.41	0.3	3.2	49	164	0.79	0.0	d5955b96	11.7	0.9927	0.03
8.3	0.49	0.43	2.5	32	116	0.47	0.0	69b43d6e	10.7	0.9944	0.036
6.3	0.41	0.3	3.2	49	164	0.79	0.0	1994060a	11.7	0.9927	0.03
7.6	0.2	0.26	4.5	37	133	0.42	0.0	e28e48fe	9.2	0.9963	0.086
7.5	0.26	0.26	18.35	33	139	0.39	0.0	a43beb09	8.8	1.0011	0.084
7.5	0.26	0.26	18.35	33	139	0.39	0.0	e0c80c87	8.8	1.0011	0.084
6.8	0.27	0.35	7.8	76	197	0.43	0.0	4e9e8fd1	9.5	0.9959	0.048
6.8	0.28	0.37	7	35	208	0.55	0.0	23d86533	10.2	0.9973	0.057
8.4	0.2	0.27	6.3	30	143	0.5	0.0	9374cb37	9.1	0.9966	0.048
7.9	0.33	0.26	1.2	23	103	0.54	0.0	b45f73ce	10.5	0.9932	0.044
7.5	0.38	0.5	12.8	57	184	0.46	0.0	ada4116b	9	0.9984	0.042
7.6	0.2	0.3	14.2	53	212.5	0.46	0.0	d58cd7c7	8.9	0.999	0.056
7.6	0.2	0.3	14.2	53	212.5	0.46	0.0	ee577ffa	8.9	0.999	0.056
7.6	0.2	0.3	14.2	53	212.5	0.46	0.0	13dab367	8.9	0.999	0.056
7.6	0.2	0.3	14.2	53	212.5	0.46	0.0	ceb6be8f	8.9	0.999	0.056
7.6	0.2	0.3	14.2	53	212.5	0.46	0.0	b5b23232	8.9	0.999	0.056
8.1	0.19	0.58	16.65	48	181	0.62	0.0	28b923ad	9.1	1.0006	0.049
7.6	0.16	0.41	1.9	27	151	0.53	0.0	92926f22	10.1	0.9937	0.047
8.1	0.22	0.28	7.7	57	176	0.55	0.0	27f83716	10	0.9954	0.043
8	0.22	0.32	10.4	63	201	0.53	0.0	50399fa3	9.5	0.997	0.043
7.1	0.33	0.3	3.3	30	102	0.31	0.0	769da729	12.3	0.9912	0.034
6.4	0.43	0.27	1.1	5	110	0.52	0.0	fe4a774f	9.1	0.9939	0.054
7.6	0.2	0.3	14.2	53	212.5	0.46	0.0	76eb0a3f	8.9	0.999	0.056
7	0.12	0.28	6.3	17	103	0.44	0.0	a23705f9	9.6	0.9957	0.057
7.4	0.3	0.22	5.25	33	180	0.45	0.0	374408fa	11.6	0.9926	0.053
7	0.28	0.33	14.6	47	168	0.67	0.0	845cdf83	8.8	0.9994	0.043
8.4	0.2	0.38	11.8	51	170	0.82	0.0	40969dc3	8.9	1.0004	0.055
7	0.28	0.33	14.6	47	168	0.67	0.0	b81c0f89	8.8	0.9994	0.043
8.4	0.2	0.38	11.8	51	170	0.82	0.0	c8e40816	8.9	1.0004	0.055
8.4	0.2	0.38	11.8	51	170	0.82	0.0	8af95c92	8.9	1.0004	0.055
7.3	0.18	0.31	17.3	32	197	0.46	0.0	84433fc7	9	1.0002	0.055
6.8	0.31	0.09	1.4	56	145	0.46	0.0	96788aae	10	0.9922	0.04
6.7	0.31	0.08	1.3	58	147	0.46	0.0	dead0ff1	10	0.9922	0.038
7.6	0.17	0.35	1.6	43	154	0.69	0.0	4ef8b8f2	11.1	0.9934	0.047
7.4	0.3	0.22	5.25	33	180	0.45	0.0	9eab47a8	11.6	0.9926	0.053
7.4	0.26	0.31	2.4	58	178	0.68	0.0	a41179d3	10.6	0.9941	0.043
7	0.28	0.33	14.6	47	168	0.67	0.0	db1d37f7	8.8	0.9994	0.043
8.4	0.2	0.38	11.8	51	170	0.82	0.0	65613606	8.9	1.0004	0.055
5.6	0.18	0.31	1.5	16	84	0.58	0.0	7797b930	10.1	0.9924	0.038
7.2	0.15	0.39	1.8	21	159	0.47	0.0	6b0c19b5	10	0.9948	0.043
8	0.4	0.33	7.7	27	98	0.41	0.0	ccb6e97a	12.2	0.9935	0.034
7	0.25	0.56	2	20	95	0.53	0.0	10389f76	11	0.9918	0.035
7.2	0.15	0.39	1.8	21	159	0.47	0.0	0d102038	10	0.9948	0.043
6.8	0.18	0.46	1.4	37	160	0.45	0.0	aae93104	11.1	0.9924	0.064
6.6	0.32	0.22	16.7	38	133	0.67	0.0	b3522728	10.4	0.9979	0.046
9	0.55	0.3	8.1	14	71	0.36	0.0	da93fba9	11.8	0.993	0.026
6.9	0.19	0.39	8	22	84	0.66	0.0	9c8151e1	10.8	0.994	0.028
6.3	0.41	0.33	4.7	28	110	0.38	0.0	cf1739c2	12.5	0.991	0.023
9	0.55	0.3	8.1	14	71	0.36	0.0	a0a0372c	11.8	0.993	0.026
7	0.2	0.34	2.1	12	136	0.46	0.0	bad60571	11.6	0.9922	0.049
6.6	0.32	0.22	16.7	38	133	0.67	0.0	67866249	10.4	0.9979	0.046
7.7	0.26	0.34	6.4	36	163	0.7	0.0	7c17d939	11.5	0.9937	0.05
6.3	0.21	0.28	1.5	46	142	0.42	0.0	566589f9	10.1	0.9928	0.051
7.6	0.34	0.39	7.6	45	215	0.53	0.0	8c970ecb	9.2	0.9965	0.04
6.3	0.21	0.28	1.5	46	142	0.42	0.0	8f636040	10.1	0.9928	0.051
8	0.43	0.4	12.4	29	190	0.64	0.0	d19428c4	9.2	0.9991	0.168
7.5	0.3	0.71	1.3	44	149	0.42	0.0	6a1138cc	8.9	0.9948	0.16
6.4	0.26	0.4	1.7	5	60	0.54	0.0	c246e407	10.1	0.9925	0.179
6.9	0.32	0.15	8.1	51	180	0.45	0.0	1d0524dc	8.9	0.9958	0.046
8.9	0.21	0.34	7.1	33	150	0.45	0.0	973809eb	9.7	0.9962	0.037
7.6	0.34	0.39	7.6	45	215	0.53	0.0	6c71a370	9.2	0.9965	0.04
9.5	0.42	0.41	2.3	22	145	0.52	0.0	75f53448	11	0.9951	0.034
7.6	0.29	0.26	6.5	32	160	0.47	0.0	a2eb9eff	10.7	0.9944	0.042
6.5	0.25	0.2	1.4	29	101	0.54	0.0	662e3fcb	10.8	0.9916	0.024
7.2	0.23	0.33	12.7	50	183	0.4	0.0	5d3aa581	9.8	0.9987	0.049
7.9	0.35	0.36	1.6	11	124	0.48	0.0	0be72ac4	11	0.9928	0.038
8.8	0.2	0.28	1.1	18	72	0.35	0.0	8e88c454	10.4	0.9926	0.018
5.7	0.27	0.32	1.2	20	155	0.41	0.0	e4e705e5	10.2	0.9934	0.046
7.6	0.29	0.26	6.5	32	160	0.47	0.0	3741d590	10.7	0.9944	0.042
5.5	0.14	0.27	4.6	22	104	0.44	0.0	b891aa3e	9	0.9949	0.029
8.7	0.24	0.35	0.6	11	71	0.38	0.0	6216ab40	10.6	0.9926	0.042
6.7	0.3	0.45	10.6	56	212	0.59	0.0	4f678c12	9.5	0.997	0.032
5.5	0.14	0.27	4.6	22	104	0.44	0.0	09a5f669	9	0.9949	0.029
5.6	0.13	0.27	4.8	22	104	0.45	0.0	54ba0346	9.2	0.9948	0.028
7.4	0.18	0.34	2.7	30	107	0.53	0.0	3c6dbf08	11	0.992	0.03
5.7	0.385	0.04	12.6	22	115	0.63	0.0	b19439bb	9.9	0.9964	0.034
8.7	0.24	0.35	0.6	11	71	0.38	0.0	ab6153af	10.6	0.9926	0.042
8.3	0.33	0.43	9.2	22	126	0.47	0.0	6ceb7a39	9.3	0.9982	0.046
6.8	0.34	0.44	6.6	28	156	0.41	0.0	9c749ea7	9.6	0.9955	0.052
6.8	0.33	0.44	7	29	155	0.42	0.0	5dc92e56	9.5	0.9955	0.05
6.3	0.28	0.24	8.45	32	172	0.57	0.0	e0a528de	9.7	0.9958	0.031
11.8	0.23	0.38	11.1	15	123	0.55	0.0	210438f9	9.7	0.9997	0.034
6.8	0.21	0.27	18.15	41	146	0.36	0.0	5dd5a4d9	8.7	1.0001	0.042
6.8	0.21	0.27	18.15	41	146	0.36	0.0	6720bc7c	8.7	1.0001	0.042
8.6	0.485	0.29	4.1	19	101	0.38	0.0	b00fd8e3	12.4	0.9918	0.026
8.6	0.485	0.29	4.1	19	101	0.38	0.0	a11e337b	12.4	0.9918	0.026
7.3	0.29	0.29	4.6	27	155	0.26	0.0	9a3dabce	10.6	0.9931	0.029
6.8	0.21	0.27	18.15	41	146	0.36	0.0	a0bca75e	8.7	1.0001	0.042
6.7	0.31	0.31	4.9	20	151	0.82	0.0	6b1b1384	12	0.9926	0.031
7.3	0.29	0.37	8.3	45	227	0.47	0.0	1462aa40	9	0.9966	0.044
5.7	0.46	0.46	1.4	31	169	0.47	0.0	8c83c7aa	8.8	0.9932	0.04
6.8	0.28	0.44	11.5	58	223	0.56	0.0	f56afba4	9.5	0.9969	0.04
6.7	0.23	0.33	1.8	23	96	0.4	0.0	8b39e9e3	10.8	0.9925	0.036
6.9	0.17	0.25	1.6	34	132	0.48	0.0	850a942f	11.4	0.9914	0.047
7.6	0.18	0.36	2.4	38	123	0.46	0.0	f028b199	10.3	0.996	0.049
6.6	0.22	0.28	4.9	51	180	0.75	0.0	9b27f753	9.5	0.9952	0.042
7.8	0.27	0.28	1.8	21	127	0.44	0.0	50301ff6	9.9	0.9934	0.05
7.7	0.28	0.29	4.3	25	142	0.39	0.0	cfb1b074	10.2	0.9939	0.051
7.6	0.29	0.29	4.4	26	146	0.39	0.0	c8b21d7f	10.2	0.9939	0.051
5.7	0.32	0.18	1.4	26	104	0.37	0.0	0a045beb	11	0.9906	0.029
7.1	0.33	0.25	1.6	25	126	0.34	0.0	61723fb3	12.1	0.9901	0.03
7.3	0.34	0.3	1.3	25	173	0.51	0.0	24c1232a	9.1	0.9948	0.057
6.5	0.19	0.26	5.2	31	140	0.68	0.0	5d304332	9.5	0.995	0.04
6.6	0.23	0.27	5.6	43	164	0.76	0.0	a4353652	9.5	0.9953	0.043
6.6	0.27	0.29	5.3	57	189	0.79	0.0	09b01a87	9.8	0.9953	0.045
6.6	0.22	0.28	4.9	51	180	0.75	0.0	786d0baf	9.5	0.9952	0.042
7.6	0.18	0.36	2.4	38	123	0.46	0.0	dbd4f9c9	10.3	0.996	0.049
6.8	0.36	0.32	1.6	10	124	0.67	0.0	c853f293	9.6	0.9948	0.039
7	0.22	0.39	2.1	39	198	0.54	0.0	64d4716c	10.2	0.9951	0.055
5.9	0.17	0.3	1.4	25	119	0.72	0.0	db3030e4	10.5	0.9931	0.042
7.4	0.45	0.32	7.1	17	117	0.41	0.0	e9cd4d75	10.4	0.9962	0.044
6.8	0.36	0.32	1.6	10	124	0.67	0.0	e1c21654	9.6	0.9948	0.039
7.5	0.42	0.14	10.7	18	95	0.33	0.0	0e57b3bb	10.7	0.9959	0.046
7.5	0.33	0.32	11.1	25	119	0.34	0.0	2ea074e7	10.5	0.9962	0.036
9.4	0.3	0.32	10.7	14	111	0.42	0.0	ad5a9313	10.6	0.9958	0.029
7.9	0.17	0.32	1.6	47	150	0.76	0.0	437dda98	9.6	0.9948	0.053
7.9	0.17	0.32	1.6	47	150	0.76	0.0	fb4604b8	9.6	0.9948	0.053
8.2	0.17	0.32	1.5	17	101	0.58	0.0	5f51b98e	9.5	0.994	0.05
8.3	0.17	0.31	1.5	48	153	0.58	0.0	1732a1c1	9.4	0.9942	0.049
8.7	0.15	0.3	1.6	29	130	0.38	0.0	97720dfa	9.8	0.9942	0.046
7.9	0.17	0.32	1.6	47	150	0.76	0.0	f64ecf9a	9.6	0.9948	0.053
7.2	0.25	0.19	8	51	172	0.44	0.0	88cd1925	9.2	0.9964	0.044
7.2	0.24	0.19	7.7	53	176	0.38	0.0	5dc44070	9.5	0.9958	0.045
5.3	0.76	0.03	2.7	27	93	0.38	0.0	ed72cf43	9.2	0.9932	0.043
6.6	0.22	0.53	15.1	22	136	0.35	0.0	c2284487	9.4	0.9986	0.052
6.6	0.22	0.53	15.1	22	136	0.35	0.0	635f8fff	9.4	0.9986	0.052
8.4	0.28	0.4	8.9	33	146	0.46	0.0	3ea94e45	9.3	0.9988	0.048
6.8	0.32	0.34	6	5	129	0.4	0.0	f5333805	9.1	0.9953	0.05
6.7	0.24	0.33	12.3	31	145	0.4	0.0	28bc6c27	9.5	0.9983	0.046
7.4	0.18	0.36	13.1	72	163	0.35	0.0	e3002df8	9.1	1	0.056
6	0.16	0.3	6.7	43	153	0.46	0.0	e49bf605	10.6	0.9951	0.043
6.7	0.24	0.33	12.3	31	145	0.4	0.0	697c225d	9.5	0.9983	0.046
6.8	0.28	0.35	2.3	16	85	0.56	0.0	f6c9ddc3	12.4	0.9906	0.042
6.2	0.34	0.3	11.1	28	237	0.49	0.0	38f09486	8.7	0.9981	0.047
6	0.27	0.15	1.5	35	128	0.45	0.0	2f1b935f	8.8	0.9936	0.056
6	0.16	0.3	6.7	43	153	0.46	0.0	fb07c72a	10.6	0.9951	0.043
6.8	0.32	0.34	6	5	129	0.4	0.0	4bbf7596	9.1	0.9953	0.05
8.5	0.24	0.47	15.2	40	234	0.66	0.0	cd93d013	9	1.0005	0.057
8.1	0.24	0.33	10.2	46	141	0.48	0.0	4ff2e3f5	10.3	0.9972	0.048
7.4	0.18	0.36	13.1	72	163	0.35	0.0	86e8f34b	9.1	1	0.056
7.7	0.23	0.31	10.7	59	186	0.55	0.0	ce50cd93	9.5	0.9969	0.038
6.5	0.22	0.25	17.1	44	138	0.37	0.0	4ee8ab3b	8.8	1.0001	0.05
6.5	0.22	0.25	17.1	44	138	0.37	0.0	b995cc2c	8.8	1.0001	0.05
6.5	0.22	0.25	17.1	44	138	0.37	0.0	46240f5e	8.8	1.0001	0.05
5.7	0.33	0.15	1.9	20	93	0.62	0.0	592722f6	9.9	0.9934	0.05
7.7	0.23	0.31	10.7	59	186	0.55	0.0	2f12b1c5	9.5	0.9969	0.038
6.5	0.22	0.25	17.1	44	138	0.37	0.0	b5c86faf	8.8	1.0001	0.05
6.8	0.2	0.27	1.2	19	68	0.37	0.0	7720d9ee	11.7	0.9902	0.034
7.7	0.26	0.32	1.2	26	117	0.56	0.0	79896803	10.8	0.993	0.04
6.4	0.2	0.32	3.1	18	126	0.42	0.0	35cec68b	12	0.9914	0.041
8	0.16	0.36	1.5	14	122	0.39	0.0	a591b9c0	10.3	0.9941	0.033
6.8	0.25	0.27	10.7	47	154	0.38	0.0	2c9bd384	9	0.9967	0.076
7.7	0.39	0.28	4.9	36	109	0.58	0.0	f2b8921d	12.2	0.9918	0.035
6.9	0.26	0.33	12.6	59	173	0.38	0.0	32dd95f7	9.9	0.998	0.051
6.8	0.25	0.27	10.7	47	154	0.38	0.0	8fe95e27	9	0.9967	0.076
7.7	0.39	0.28	4.9	36	109	0.58	0.0	f029e4d8	12.2	0.9918	0.035
6	0.28	0.22	12.15	42	163	0.46	0.0	5e10085a	10.1	0.9957	0.048
6.5	0.43	0.28	12	23	174	0.55	0.0	c2bdba3f	9.3	0.9986	0.056
9.1	0.33	0.38	1.7	50.5	344	0.7	0.0	ce8ea22f	9.5	0.9958	0.062
5.9	0.5	0.05	2.6	36	146	0.5	0.0	90520661	9.2	0.9948	0.054
6.8	0.28	0.39	1.4	15	115	0.72	0.0	53ab4529	11.7	0.9918	0.036
7	0.35	0.24	1.9	21	144	0.38	0.0	366722c7	11	0.9923	0.04
7.1	0.22	0.32	16.9	49	158	0.38	0.0	88dabe90	9.6	0.9998	0.056
7.1	0.22	0.32	16.9	49	158	0.38	0.0	4290e1ae	9.6	0.9998	0.056
8.3	0.24	0.27	2.1	22	162	0.68	0.0	34f4f817	11.9	0.9914	0.03
6.8	0.26	0.32	7	38	118	0.52	0.0	9e0f0d7d	10.8	0.9939	0.041
7.2	0.16	0.26	7.1	41	224	0.55	0.0	541ef790	10.1	0.9966	0.054
7.9	0.18	0.36	5.9	31	132	0.52	0.0	14ef4283	10.9	0.995	0.058
7.2	0.16	0.26	7.1	41	224	0.55	0.0	fb528596	10.1	0.9966	0.054
5.5	0.24	0.32	8.7	19	102	0.31	0.0	9a756c9a	10.4	0.994	0.06
7.1	0.33	0.64	13.2	12	105	0.39	0.0	07b59181	9.2	0.9972	0.056
7.7	0.28	0.35	15.3	31	117	0.5	0.0	084a2022	9.6	0.9998	0.056
7.7	0.28	0.35	15.3	31	117	0.5	0.0	c641a211	9.6	0.9998	0.056
7.5	0.26	0.52	13.2	64	179	0.46	0.0	be5a4d24	9	0.9982	0.047
6.5	0.14	0.32	2.7	18	89	0.74	0.0	5c17430f	11.5	0.9924	0.037
8.2	0.21	0.32	10.65	53	145	0.48	0.0	53fbc413	10.2	0.9972	0.053
7.2	0.2	0.31	10	49	165	0.42	0.0	21721d26	9.9	0.997	0.054
7.2	0.115	0.3	6.8	26	105	0.4	0.0	555736d7	9.6	0.9954	0.056
6.4	0.29	0.2	15.6	20	142	0.54	0.0	24f072bd	10.6	0.9962	0.04
7.1	0.33	0.64	13.2	12	105	0.39	0.0	46b0a205	9.2	0.9972	0.056
6.8	0.24	0.34	5.1	31	99	0.46	0.0	e6d99508	11.8	0.9921	0.038
7	0.24	0.34	3	36	102	0.43	0.0	e535c03e	12.2	0.9905	0.035
7.7	0.28	0.35	15.3	31	117	0.5	0.0	79d3b3c6	9.6	0.9998	0.056
7	0.22	0.33	2.1	15	76	0.41	0.0	e8739e62	10.6	0.993	0.052
7.5	0.18	0.39	1.9	23	91	0.45	0.0	e554791a	10.3	0.9941	0.054
9.8	0.93	0.45	8.6	34	187	0.59	0.0	e16ce0b9	10.2	0.9994	0.052
7.8	0.29	0.33	8.75	33	181	0.46	0.0	7921eeca	10.7	0.9962	0.035
7.9	0.28	0.32	3.6	9	76	0.31	0.0	574efc06	11.7	0.992	0.038
8.5	0.25	0.27	4.7	31	92	0.33	0.0	c612cfd3	12	0.9922	0.031
7.4	0.18	0.27	1.3	26	105	0.66	0.0	b80f9bf4	10.6	0.994	0.048
6.3	0.24	0.37	1.8	6	61	0.34	0.0	f42c69a2	12.2	0.9897	0.031
6	0.33	0.38	9.7	29	124	0.48	0.0	5fb18167	11	0.9954	0.04
6.8	0.37	0.28	4	29	79	0.46	0.0	422368cb	12.4	0.99	0.03
9.9	0.49	0.23	2.4	19	115	0.44	0.0	43f7eda8	9.4	0.9948	0.087
8.5	0.25	0.27	4.7	31	92	0.33	0.0	3041856c	12	0.9922	0.031
8.4	0.22	0.28	18.8	55	130	0.35	0.0	ffc46de5	11.6	0.998	0.028
7	0.35	0.31	1.8	15	162	0.47	0.0	5854a287	9.4	0.9944	0.069
7	0.35	0.31	1.8	15	162	0.47	0.0	7dea413f	9.4	0.9944	0.069
7.4	0.19	0.3	12.8	48.5	229	0.49	0.0	bdcef258	9.1	0.9986	0.053
7.4	0.19	0.3	12.8	48.5	229	0.49	0.0	22142440	9.1	0.9986	0.053
7.4	0.19	0.3	12.8	48.5	229	0.49	0.0	2cc495e8	9.1	0.9986	0.053
7.4	0.19	0.3	12.8	48.5	229	0.49	0.0	f693a60f	9.1	0.9986	0.053
7.4	0.19	0.3	12.8	48.5	229	0.49	0.0	8f622510	9.1	0.9986	0.053
6.9	0.32	0.13	7.8	11	117	0.37	0.0	bc7a8aff	9.2	0.996	0.042
7.6	0.32	0.58	16.75	43	163	0.54	0.0	100966e4	9.2	0.9999	0.05
7.4	0.19	0.3	12.8	48.5	229	0.49	0.0	f9102b93	9.1	0.9986	0.053
7.4	0.19	0.3	12.8	48.5	212	0.49	0.0	879e3608	9.1	0.9986	0.053
6.9	0.32	0.13	7.8	11	117	0.37	0.0	0493039e	9.2	0.996	0.042
6	0.34	0.24	5.4	23	126	0.44	0.0	3081a7e5	9	0.9951	0.06
7.6	0.32	0.58	16.75	43	163	0.54	0.0	f2986660	9.2	0.9999	0.05
7.7	0.24	0.31	1.3	33	106	0.55	0.0	bce9c79e	10.8	0.993	0.047
8	0.36	0.43	10.1	29	146	0.46	0.0	afc7e3a0	9.5	0.9982	0.053
7.4	0.29	0.25	3.8	30	114	0.4	0.0	a2d21771	11	0.992	0.044
6.6	0.32	0.27	10.9	37	146	0.47	0.0	2bbd015a	10	0.9963	0.041
6.3	0.3	0.24	6.6	38	141	0.47	0.0	f56c65a3	9.5	0.995	0.04
6.4	0.33	0.24	9.8	29	109	0.47	0.0	b8cdee6f	10.1	0.9956	0.041
7.5	0.18	0.31	11.7	24	94	0.44	0.0	4a7d80a0	9.5	0.997	0.051
6.5	0.39	0.81	1.2	14	74	0.53	0.0	13f91919	9.5	0.9936	0.217
6.8	0.25	0.18	1.4	13	137	0.42	0.0	6999d5a9	9.5	0.9935	0.056
6.4	0.18	0.32	9.6	24	90	0.49	0.0	d5c03913	9.4	0.9963	0.052
7.1	0.18	0.32	12.2	36	125	0.54	0.0	0eca6517	9.4	0.9967	0.048
7.6	0.27	0.42	2.6	29	110	0.51	0.0	edbd966c	12.7	0.9912	0.044
9.2	0.23	0.35	10.7	34	145	0.32	0.0	f4ed2915	9.7	0.9981	0.037
7.9	0.28	0.41	4.9	31	153	0.51	0.0	264efced	9.7	0.9966	0.058
7.1	0.18	0.32	12.2	36	125	0.54	0.0	f979bfb8	9.4	0.9967	0.048
6.4	0.18	0.32	9.6	24	90	0.49	0.0	f273d7fb	9.4	0.9963	0.052
6.8	0.25	0.18	1.4	13	137	0.42	0.0	b2bde491	9.5	0.9935	0.056
7	0.22	0.26	1.1	20	71	0.38	0.0	587908b9	11.7	0.9902	0.037
7.3	0.18	0.29	1	26	101	0.37	0.0	85713b95	11.7	0.99	0.036
7.1	0.26	0.19	8.2	53	187	0.52	0.0	c3addf35	9.7	0.996	0.051
6.6	0.25	0.42	11.3	77	231	0.52	0.0	2fa4e1af	9.5	0.9966	0.049
6.4	0.24	0.23	7.3	31	157	0.53	0.0	fed299a6	9.1	0.9962	0.069
6	0.28	0.27	2.3	23	147	0.67	0.0	c9da7c22	10.3	0.994	0.051
7.1	0.26	0.19	8.2	53	187	0.52	0.0	bc1c731a	9.7	0.996	0.051
7.8	0.24	0.38	2.1	14	167	0.55	0.0	191138de	9.9	0.994	0.058
7.6	0.27	0.33	2	19	175	0.56	0.0	aa649d81	9.9	0.9944	0.059
7.7	0.39	0.34	10	35	178	0.6	0.0	e1f558ba	10.2	0.9974	0.056
8.9	0.24	0.33	15.75	16	132	0.37	0.0	c2e733b1	12.1	0.996	0.035
6.6	0.23	0.24	3.9	36	138	0.64	0.0	80cf500c	11.3	0.9922	0.045
7.1	0.26	0.3	2	13	128	0.49	0.0	d6098559	11.4	0.9917	0.031
7	0.32	0.35	1.5	24	125	0.64	0.0	bb1313ee	12.2	0.9918	0.039
7.4	0.24	0.26	1.6	53	150	0.5	0.0	079d1b46	9.9	0.9936	0.058
6.9	0.21	0.33	1.4	35	136	0.78	0.0	30a53374	10.3	0.9938	0.056
7	0.32	0.35	1.5	24	125	0.64	0.0	549578f2	12.2	0.9918	0.039
7.4	0.17	0.29	1.4	23	107	0.65	0.0	82e62797	10.4	0.9939	0.047
7.1	0.26	0.3	2	13	128	0.49	0.0	4dac8f37	11.4	0.9917	0.031
8.5	0.28	0.34	13.8	32	161	0.4	0.0	0d78b2ad	9.9	0.9981	0.041
7.8	0.3	0.37	1.3	16	96	0.62	0.0	f9970460	10	0.9941	0.051
8.1	0.25	0.38	3.8	18	129	0.38	0.0	fb498d53	11.5	0.9928	0.051
7.7	0.28	0.29	6.9	29	163	0.6	0.0	1058a3c7	10.5	0.9952	0.041
6.5	0.24	0.36	2.2	36	134	0.36	0.0	91fccff0	12.5	0.9898	0.027
7	0.22	0.32	1.6	40	120	0.44	0.0	2cfca2d5	10.5	0.9914	0.045
8.5	0.28	0.34	13.8	32	161	0.4	0.0	da56e059	9.9	0.9981	0.041
8	0.45	0.28	10.8	25	157	0.47	0.0	e8b8b53f	11.4	0.9957	0.051
6.9	0.23	0.33	12.8	44	169	0.42	0.0	330baed4	9.8	0.998	0.056
8	0.45	0.28	10.8	25	157	0.47	0.0	cc39a2b0	11.4	0.9957	0.051
7.6	0.23	0.26	15.3	32	166	0.44	0.0	7c1fc015	9.2	0.9986	0.067
7.7	0.28	0.58	12.1	60	177	0.46	0.0	054bb7b9	8.9	0.9983	0.046
7.7	0.27	0.61	12	64	179	0.46	0.0	3e9a4d90	8.9	0.9982	0.046
7.1	0.2	0.36	11.6	45	124	0.59	0.0	0196020e	9.5	0.997	0.042
6.9	0.25	0.35	9.2	42	150	0.36	0.0	2716f17a	11.5	0.9947	0.034
7.1	0.2	0.36	11.6	45	124	0.59	0.0	9af5335d	9.5	0.997	0.042
6.9	0.25	0.35	9.2	42	150	0.36	0.0	2d54aed2	11.5	0.9947	0.034
8.4	0.2	0.31	2.8	16	89	0.45	0.0	6056eac6	9.5	0.99416	0.054
6.5	0.39	0.35	1.6	10	164	0.51	0.0	f9ec5e50	9.7	0.99516	0.049
7.2	0.23	0.38	6.1	20	90	0.79	0.0	acd4bc05	9.7	0.99496	0.067
6.9	0.44	0.42	8.5	10	147	0.46	0.0	6881e34d	9.5	0.9974	0.048
7.1	0.28	0.19	7.8	48	184	0.5	0.0	24cc3ee0	9.4	0.99579	0.04
6.4	0.34	0.2	14.9	37	162	0.45	0.0	c32b565d	9	0.9983	0.06
6.1	0.15	0.29	6.2	39	151	0.44	0.0	d51c8859	10.6	0.99471	0.046
6.9	0.44	0.42	8.5	10	147	0.46	0.0	73c20a90	9.5	0.9974	0.048
7.2	0.29	0.18	8.2	41	180	0.49	0.0	959e2385	9.1	0.99644	0.042
7.1	0.28	0.19	7.8	48	184	0.5	0.0	2497e96a	9.4	0.99579	0.04
6.1	0.23	0.45	10.6	49	169	0.54	0.0	0a789a07	8.8	0.99699	0.094
6.7	0.23	0.42	11.2	52	171	0.74	0.0	d083b2fc	10.4	0.99758	0.047
7	0.36	0.14	11.6	35	228	0.51	0.0	2a77dd71	8.9	0.9977	0.043
7.5	0.31	0.24	7.1	28	141	0.38	0.0	d2dfc784	10.6	0.99397	0.031
6.4	0.34	0.2	14.9	37	162	0.45	0.0	3ad9e530	9	0.9983	0.06
6.1	0.15	0.29	6.2	39	151	0.44	0.0	c29e84a3	10.6	0.99471	0.046
7.4	0.2	0.29	1.7	16	100	0.45	0.0	e60b750b	10.6	0.99243	0.047
6.3	0.27	0.18	7.7	45	186	0.47	0.0	efa5502d	9	0.9962	0.048
9.2	0.34	0.54	17.3	46	235	0.61	0.0	dcddb90c	8.8	1.00182	0.06
7.4	0.18	0.29	1.4	34	101	0.6	0.0	f48e0e8a	10.5	0.99384	0.042
7.2	0.29	0.2	7.7	51	174	0.52	0.0	7573c4fe	9.5	0.99582	0.046
6.3	0.27	0.18	7.7	45	186	0.47	0.0	f319916b	9	0.9962	0.048
6.2	0.26	0.19	3.4	47	172	0.43	0.0	58a94eda	10.4	0.9924	0.049
7.3	0.21	0.21	1.6	35	133	0.46	0.0	52a9342e	10	0.99466	0.046
7.1	0.14	0.35	1.4	24	128	0.68	0.0	37b0c83c	10.4	0.99212	0.039
7.2	0.39	0.54	1.4	34	132	0.53	0.0	3d4558e4	9	0.99449	0.157
7.6	0.48	0.28	10.4	57	205	0.45	0.0	3ce2f08e	9.3	0.99748	0.049
7.2	0.39	0.54	1.4	34	132	0.53	0.0	5a28967e	9	0.99449	0.157
7.6	0.48	0.28	10.4	57	205	0.45	0.0	edb81f71	9.3	0.99748	0.049
6.5	0.36	0.31	4.1	20	134	0.45	0.0	151327d4	9	0.99475	0.061
8.5	0.25	0.31	2.8	11	61	0.44	0.0	b739e519	11.5	0.99189	0.032
6.9	0.3	0.21	15.7	49	159	0.48	0.0	41cc8fd3	9	0.99827	0.056
6.6	0.19	0.43	10.9	53	154	0.77	0.0	d5ef9fb4	10.4	0.99752	0.045
6.9	0.3	0.21	15.7	49	159	0.48	0.0	a9b4be5e	9	0.99827	0.056
9.4	0.42	0.32	6.5	20	167	0.43	0.0	d3abd89b	10.6	0.99479	0.027
6.6	0.19	0.43	10.9	53	154	0.77	0.0	969f669c	10.4	0.99752	0.045
6.3	0.2	0.3	5.9	35	152	0.4	0.0	0c859276	8.5	0.99642	0.034
8.5	0.19	0.56	17.3	47	169	0.67	0.0	c2f488b2	9.3	1.00047	0.055
7.3	0.19	0.25	1.4	41	107	0.66	0.0	d7318a2b	10.5	0.99382	0.051
6.7	0.25	0.26	13.5	50	156	0.46	0.0	ee73c0f8	9.9	0.99784	0.06
6.2	0.25	0.28	8.5	28	108	0.42	0.0	aed7ded6	10.4	0.99486	0.035
6.1	0.46	0.32	6.2	10	94	0.47	0.0	9329d955	10.1	0.99537	0.053
7.3	0.19	0.25	1.4	41	107	0.66	0.0	2061df6e	10.5	0.99382	0.051
7.5	0.29	0.26	14.95	47	178	0.49	0.0	25b4ea0d	9.2	0.99838	0.067
6.7	0.31	0.18	7.7	57	200	0.44	0.0	f9df3419	9.4	0.99566	0.043
7.4	0.14	0.3	1.3	25	91	0.39	0.0	c1a02ef4	10.6	0.99268	0.033
6.7	0.31	0.18	7.7	57	200	0.44	0.0	583c5be7	9.4	0.99566	0.043
7.1	0.4	0.52	1.3	45	149	0.56	0.0	dee00910	8.7	0.99468	0.148
6.4	0.16	0.25	1.3	20	77	0.54	0.0	cd39b1fa	10.2	0.9933	0.047
6.3	0.16	0.22	1.3	18	66	0.55	0.0	85fc6cec	10.3	0.99307	0.046
7.4	0.33	0.26	15.6	67	210	0.68	0.0	e3f567d8	9.5	0.99907	0.049
7.4	0.33	0.26	15.6	67	210	0.68	0.0	fb893dc8	9.5	0.99907	0.049
7.4	0.33	0.26	15.6	67	210	0.68	0.0	fb46370c	9.5	0.99907	0.049
7.4	0.33	0.26	15.6	67	210	0.68	0.0	c48d7202	9.5	0.99907	0.049
6.6	0.41	0.24	4.9	47	144	0.49	0.0	fe21729d	9.4	0.99471	0.158
6.7	0.43	0.23	5	49	145	0.49	0.0	c452a9e5	9.4	0.99471	0.157
7.4	0.33	0.26	15.6	67	210	0.68	0.0	f8feddc5	9.5	0.99907	0.049
7.3	0.4	0.28	6.5	26	97	0.58	0.0	5d524741	12.6	0.99148	0.037
7.4	0.18	0.24	1.4	21	106	0.64	0.0	59846a25	10.5	0.99383	0.047
8.6	0.17	0.28	2.7	38	150	0.56	0.0	6bf8e1af	10.8	0.99365	0.047
6.5	0.32	0.23	1.2	39	208	0.46	0.0	c2e9f4b8	9.9	0.99272	0.054
7.3	0.4	0.28	6.5	26	97	0.58	0.0	ee0ea18e	12.6	0.99148	0.037
7	0.32	0.31	6.4	38	115	0.58	0.0	0cb47812	12.2	0.99235	0.031
7.5	0.42	0.19	6.9	62	150	0.37	0.0	fed91217	10	0.99508	0.041
6.9	0.28	0.31	7.2	47	168	0.57	0.0	14471c9c	10.6	0.9946	0.04
6.5	0.29	0.42	10.6	66	202	0.53	0.0	61d59582	9.5	0.99674	0.042
6.3	0.41	0.18	3.5	23	109	0.54	0.0	71fa5f78	12.8	0.99018	0.027
7	0.32	0.31	6.4	38	115	0.58	0.0	bb0c394a	12.2	0.99235	0.031
7.3	0.3	0.33	2.3	28	125	0.44	0.0	ecd0d3b6	12.6	0.99084	0.043
6.6	0.22	0.28	12.05	25	125	0.45	0.0	f689946d	9.4	0.99856	0.058
6	0.26	0.18	7	50	194	0.43	0.0	dfd54fac	9	0.99591	0.055
6.9	0.44	0.18	11.8	26	126	0.48	0.0	ca719882	9.1	0.9975	0.051
7.5	0.42	0.2	1.4	15	168	0.4	0.0	7d2c21dc	9.4	0.9944	0.06
7	0.36	0.3	5	40	143	0.42	0.0	bd237d9f	12.2	0.99173	0.04
5.6	0.295	0.2	2.2	18	134	0.68	0.0	a7cedbb4	10	0.99378	0.049
6.8	0.21	0.55	14.6	34	159	0.44	0.0	026f7650	9.2	0.99805	0.053
9.4	0.28	0.3	1.6	36	139	0.49	0.0	4a9e39ae	9.3	0.99534	0.045
8.1	0.28	0.34	1.3	11	126	0.5	0.0	b139f649	9.8	0.99232	0.035
6.8	0.21	0.55	14.6	34	159	0.44	0.0	c2bff30c	9.2	0.99805	0.053
7	0.22	0.26	2.8	44	132	0.41	0.0	1963d9ac	12	0.99078	0.036
9.4	0.28	0.3	1.6	36	139	0.49	0.0	1b8b07ad	9.3	0.99534	0.045
6.8	0.32	0.3	3.3	15	80	0.63	0.0	22680e0e	12.6	0.99061	0.029
7	0.19	0.33	6.3	42	127	0.38	0.0	118dea20	12.2	0.99182	0.032
7.7	0.42	0.38	8.1	49	144	0.58	0.0	b83d96b7	11	0.9966	0.061
7.4	0.2	0.31	1.6	34	116	0.39	0.0	b56aa9f7	12	0.9912	0.038
7.5	0.24	0.62	10.6	51	153	0.44	0.0	179f0483	8.8	0.99779	0.045
7.5	0.26	0.59	11.8	58	164	0.46	0.0	6e076cfb	8.9	0.99814	0.046
6.6	0.4	0.32	1.7	39	84	0.48	0.0	54353e44	12.7	0.99096	0.035
8	0.2	0.3	8.1	42	130	0.67	0.0	1134fc02	11.8	0.99379	0.037
4.6	0.445	0	1.4	11	178	0.55	0.0	3b0bac2a	10.2	0.99426	0.053
6.1	0.41	0.04	1.3	23	121	0.61	0.0	01679471	9.9	0.99228	0.036
7.6	0.2	0.34	1.8	42	148	0.66	0.0	eb51496e	11.1	0.99335	0.041
6.9	0.3	0.21	7.2	54	190	0.48	0.0	c551f145	9.4	0.99595	0.045
7	0.35	0.17	1.1	7	119	0.36	0.0	8bae1d0b	9.7	0.99297	0.049
6.9	0.35	0.55	11.95	22	111	0.29	0.0	48042ea8	9.7	0.99687	0.038
7	0.35	0.17	1.1	7	119	0.36	0.0	e3ca605d	9.7	0.99297	0.049
6.9	0.35	0.55	11.95	22	111	0.29	0.0	bed82417	9.7	0.99687	0.038
7.6	0.3	0.4	2.2	29	175	0.53	0.0	33a1a676	9.8	0.99445	0.054
7.5	0.38	0.29	12.7	25	209	0.59	0.0	b84b40da	9.3	0.9986	0.05
7.5	0.3	0.32	1.4	31	161	0.42	0.0	882cf096	10.5	0.99154	0.032
6.3	0.4	0.32	10.6	38	209	0.59	0.0	d54bf026	9.3	0.9981	0.049
6.8	0.37	0.28	1.9	64	106	0.6	0.0	929e7aa4	12.6	0.98993	0.024
7.5	0.23	0.35	17.8	128	212	0.43	0.0	50d73b88	8.9	1.00241	0.058
8.3	0.27	0.34	10.2	50	118	0.51	0.0	e015b296	10.3	0.99716	0.048
6.8	0.26	0.22	4.8	110	198	0.67	0.0	36f80eb8	10.6	0.99437	0.041
6.5	0.28	0.35	9.8	61	180	0.57	0.0	2d95a99d	9	0.9972	0.067
7.2	0.34	0.3	8.4	40	167	0.62	0.0	f1976c80	9.7	0.99756	0.051
7	0.23	0.26	7.2	21	90	0.55	0.0	b6ecae49	9.5	0.99509	0.041
7.7	0.29	0.29	4.8	27	156	0.59	0.0	874efbf7	10.3	0.99572	0.06
7.2	0.34	0.3	8.4	40	167	0.62	0.0	a7208e3c	9.7	0.99756	0.051
7.7	0.4	0.27	4.5	27	95	0.59	0.0	86b3ea60	12.3	0.99175	0.034
6.7	0.17	0.27	1.4	39	149	0.52	0.0	a9e7dcfd	10.5	0.99254	0.032
7	0.23	0.26	7.2	21	90	0.55	0.0	f959b2e9	9.5	0.99509	0.041
8.1	0.24	0.26	11	41	211	0.49	0.0	42740082	10	0.99676	0.043
7.7	0.28	0.63	11.1	58	179	0.44	0.0	5255c455	8.8	0.9979	0.039
7.5	0.23	0.29	2.6	24	98	0.54	0.0	e5a2bdbd	10.9	0.99194	0.031
8.3	0.26	0.31	2	14	141	0.77	0.0	79cdead1	12.2	0.99077	0.029
7.9	0.46	0.4	10.1	19	184	0.62	0.0	f5e30e2d	9.5	0.99782	0.168
7.9	0.31	0.22	13.3	46	212	0.59	0.0	8999cebb	10	0.99942	0.048
7.9	0.25	0.34	11.4	53	202	0.57	0.0	0ab925c0	9.6	0.99708	0.04
6.1	0.28	0.16	1.3	36	126	0.46	0.0	69d5a7cc	8.7	0.99353	0.06
7	0.18	0.26	1.4	46	89	0.48	0.0	5ec65281	10.7	0.99256	0.044
6.5	0.21	0.28	1.4	26	66	0.48	0.0	7225a6e9	11.1	0.99199	0.046
7.6	0.48	0.33	7	14	130	0.45	0.0	e802deed	12.5	0.9918	0.024
7.1	0.34	0.32	2	29	130	0.5	0.0	e2a2d312	10.4	0.99354	0.051
8.9	0.21	0.37	1.2	20	93	0.37	0.0	cb2f9897	11.5	0.99244	0.028
7.4	0.32	0.27	12.9	60	221	0.66	0.0	c7480169	9.4	0.99831	0.04
6	0.495	0.27	5	17	129	0.36	0.0	af9c06b7	9.3	0.99396	0.157
8.1	0.25	0.34	10.1	30	121	0.49	0.0	e0fca059	10.1	0.99724	0.05
8.2	0.25	0.46	3.75	14	102	0.58	0.0	eacaf3f4	9.7	0.99524	0.05
6.5	0.18	0.29	1.7	39	144	0.5	0.0	26c6c16d	10.5	0.9927	0.035
6.7	0.24	0.26	12.6	44	182	0.42	0.0	575b1319	9.7	0.99802	0.053
6.6	0.32	0.24	1.3	42.5	204	0.51	0.0	4705a4b3	9.2	0.99512	0.06
7.6	0.32	0.35	1.6	24	138	0.44	0.0	555251bc	9.8	0.99438	0.092
7.4	0.33	0.44	7.6	40	227	0.52	0.0	2f7302fb	9	0.99679	0.05
7.2	0.3	0.3	8.1	40	188	0.49	0.0	6ddb74b5	9.1	0.99652	0.05
7.4	0.34	0.3	14.9	70	169	0.37	0.0	685069c6	10.4	0.99698	0.037
6.1	0.16	0.29	6	29	144	0.46	0.0	69dd5a12	10.7	0.99474	0.03
6.3	0.1	0.24	6	25	107	0.49	0.0	483a67ac	10.5	0.99511	0.039
6.2	0.45	0.73	7.2	47	202	0.43	0.0	57bf3a3d	9.2	0.99582	0.099
6	0.33	0.18	3	5	85	0.4	0.0	4c43cf5c	11.5	0.99125	0.036
7.6	0.48	0.37	1.2	5	57	0.54	0.0	22e431ab	10.4	0.99256	0.034
7.2	0.2	0.3	2	43	188	0.41	0.0	1d391088	12	0.9911	0.039
7	0.32	0.29	4.9	41	150	0.43	0.0	8ae4b0bc	12.2	0.99168	0.036
7.2	0.2	0.3	2	43	188	0.41	0.0	2d5e6f6a	12	0.9911	0.039
7	0.22	0.29	8.9	24	90	0.46	0.0	49842cf6	9.8	0.99556	0.05
9.4	0.23	0.56	16.45	52.5	282	0.51	0.0	277c1081	9.3	1.00098	0.063
6.4	0.27	0.19	2	21	191	0.63	0.0	881b8be8	9.6	0.99516	0.084
6.4	0.27	0.19	1.9	21	196	0.64	0.0	6ccfdc7e	9.5	0.99516	0.085
7	0.23	0.42	5.1	37	144	0.59	0.0	0c2f2137	10.2	0.99518	0.042
6.9	0.15	0.28	4.4	14	107	0.46	0.0	f0b1ec72	10.4	0.99347	0.029
6.7	0.26	0.29	5.8	26	74	0.53	0.0	66b01770	11	0.9929	0.025
6.9	0.15	0.28	4.4	14	107	0.46	0.0	16ea70e4	10.4	0.99347	0.029
7.6	0.2	0.68	12.9	56	160	0.41	0.0	0835c007	8.7	0.99841	0.042
6.9	0.3	0.29	1.3	24	189	0.54	0.0	2a8abfd5	9.9	0.99362	0.053
6.9	0.3	0.3	1.3	24	186	0.54	0.0	a2e66b5e	9.9	0.99361	0.053
7.6	0.21	0.35	1.2	7	106	0.45	0.0	4eba532b	11.3	0.9914	0.041
6.8	0.46	0.26	2.7	28	83	0.51	0.0	7a21f613	12	0.99114	0.042
7	0.28	0.26	1.7	34	130	0.5	0.0	ee8038bf	10.7	0.9925	0.042
6.5	0.24	0.29	8.2	32	156	0.7	0.0	2de02e12	10.1	0.99453	0.043
6.4	0.17	0.34	1.5	42	135	0.49	0.0	4eadba06	9.6	0.9938	0.091
6.4	0.17	0.34	1.5	43	136	0.49	0.0	1b540795	9.6	0.9938	0.093
6.3	0.695	0.55	12.9	58	252	0.49	0.0	431444f6	8.7	0.99806	0.056
7	0.27	0.29	3.9	28	199	0.59	0.0	46f1524f	10.3	0.9961	0.059
8.4	0.3	0.25	17.75	25	218	0.66	0.0	41cfcb36	9.1	1.00016	0.047
6.5	0.19	0.27	4.9	13	101	0.41	0.0	863998ad	11.8	0.9916	0.037
8	0.36	0.39	1.6	26	93	0.49	0.0	54a52a4d	11.9	0.99116	0.024
6.1	0.16	0.24	1.4	17	77	0.57	0.0	93a23e14	10.3	0.99319	0.046
9.2	0.19	0.42	2	16	104	0.66	0.0	9da99ebd	10	0.99517	0.047
9.2	0.16	0.49	2	18	107	0.53	0.0	5bc0bb11	10.2	0.99514	0.044
8	0.26	0.28	8.2	72	202	0.56	0.0	ff84f588	10	0.99566	0.038
8.8	0.33	0.36	2.1	19	125	0.98	0.0	9ffaf08f	12.7	0.99166	0.034
9.8	0.16	0.46	1.8	23	130	0.67	0.0	1596bf5a	9.6	0.99587	0.046
6.6	0.23	0.18	8.5	59	188	0.49	0.0	281051da	9.5	0.99558	0.044
7.9	0.44	0.26	4.45	23	100	0.52	0.0	554876ee	12.7	0.99117	0.033
7.6	0.31	0.27	5.8	23	109	0.54	0.0	0e6fb636	11	0.99399	0.036
7.5	0.705	0.1	13	44	214	0.5	0.0	961b7fcd	9.1	0.99741	0.044
7.1	0.21	0.28	2.7	23	111	0.64	0.0	6e1deccf	10.2	0.99405	0.034
7	0.16	0.26	7.3	30	220	0.58	0.0	7ae3e2a2	10.1	0.99622	0.047
8	0.27	0.25	19.1	50	208	0.5	0.0	43fefcdf	9.2	1.00051	0.045
6.3	0.38	0.17	8.8	50	212	0.66	0.0	eee688b8	9.4	0.99803	0.08
7.1	0.21	0.28	2.7	23	111	0.64	0.0	e4828c08	10.2	0.99405	0.034
6.2	0.38	0.18	7.4	28	195	0.71	0.0	beab9fde	9.2	0.99773	0.095
8.2	0.24	0.3	2.3	23	106	0.5	0.0	86d80fbc	10	0.99397	0.05
7	0.16	0.26	6.85	30	220	0.58	0.0	8a5947a3	10.1	0.99622	0.047
7.3	0.815	0.09	11.4	45	204	0.46	0.0	84347e23	9	0.99713	0.044
6.3	0.41	0.16	0.9	25	98	0.42	0.0	5a189817	9.5	0.99274	0.032
6.1	0.36	0.41	19.35	67	207	0.53	0.0	fd949a36	9.1	1.00118	0.07
8.1	0.4	0.32	7.9	23	118	0.46	0.0	7753f01c	13.3	0.99176	0.031
6.8	0.26	0.43	11.75	53	198	0.55	0.0	3b8bf7b8	9.5	0.9969	0.045
6.2	0.44	0.18	7.7	28	210	0.72	0.0	53edba8d	9.2	0.99771	0.096
7.2	0.24	0.29	3	17	117	0.68	0.0	511baedc	10.1	0.99411	0.036
6.2	0.44	0.18	7.7	28	210	0.72	0.0	68f369fe	9.2	0.99771	0.096
7.2	0.24	0.29	3	17	117	0.68	0.0	e4bed255	10.1	0.99411	0.036
7.3	0.22	0.26	1.5	32	172	0.48	0.0	4d38376b	11.2	0.99194	0.04
8.1	0.34	0.28	7.5	70	230	0.55	0.0	b8308d50	9.8	0.99558	0.04
7.3	0.22	0.26	1.5	32	172	0.48	0.0	723fd277	11.2	0.99194	0.04
8.1	0.34	0.28	7.5	70	230	0.55	0.0	6d2fa909	9.8	0.99558	0.04
6.4	0.28	0.17	8.3	61	195	0.46	0.0	ed51af59	9.4	0.99577	0.042
6.3	0.29	0.14	7.05	50	177	0.42	0.0	caf8c5dc	9	0.99564	0.045
6.4	0.27	0.17	8.4	60	198	0.47	0.0	f52185c9	9.4	0.99578	0.044
7.4	0.35	0.2	13.9	63	229	0.5	0.0	0a2e863b	8.9	0.99888	0.054
8.3	0.28	0.27	17.5	48	253	0.56	0.0	1e5aaa77	9.1	1.00014	0.045
6.4	0.35	0.35	5.6	9	148	0.5	0.0	25ddf1f7	9.8	0.99441	0.034
6.9	0.43	0.28	9.4	29	183	0.43	0.0	bc127e3d	9.4	0.99594	0.056
8	0.26	0.28	4.8	34	150	0.5	0.0	889bd2cf	10	0.99437	0.05
6.9	0.43	0.28	9.4	29	183	0.43	0.0	392789ba	9.4	0.99594	0.056
7.3	0.27	0.37	9.7	36	130	0.75	0.0	a4f910f1	9.9	0.9979	0.042
6.8	0.46	0.26	6.3	49	159	0.47	0.0	42b08dc7	10	0.99434	0.147
7.2	0.2	0.28	1.6	13	168	1.06	0.0	94d128e9	11.5	0.99203	0.028
7.6	0.285	0.32	14.6	32	201	0.45	0.0	4fc26894	9.2	0.998	0.063
6.6	0.32	0.33	2.5	40	219.5	0.6	0.0	7d107bf9	10	0.99316	0.052
7.6	0.285	0.32	14.6	32	201	0.45	0.0	3b1ae0e9	9.2	0.998	0.063
6.6	0.34	0.34	2.6	40.5	210	0.61	0.0	53330ffe	10	0.99314	0.051
6.6	0.32	0.33	2.5	40	210	0.6	0.0	383aec38	10	0.99316	0.052
6.5	0.27	0.26	8.2	21	133	0.64	0.0	38c5a6dd	9.8	0.99612	0.042
6.6	0.26	0.27	1.5	19	114	0.62	0.0	aebe50ff	10.5	0.99295	0.04
6.7	0.27	0.26	2.3	61	181	0.63	0.0	67595c07	10.6	0.99394	0.043
6.6	0.56	0.15	10	38	157	0.52	0.0	b735a568	9.4	0.99642	0.037
6.6	0.56	0.15	10	38	157	0.52	0.0	6b42df39	9.4	0.99642	0.037
7.3	0.19	0.27	1.6	35	136	0.54	0.0	14e6bb10	11	0.99248	0.027
6.3	0.2	0.26	1.6	36	141	0.56	0.0	75531a9d	10.8	0.99268	0.027
7.1	0.29	0.3	16	58	201	0.67	0.0	7e9eb3a9	9	0.99954	0.036
7.8	0.32	0.33	10.4	47	194	0.58	0.0	1a750579	9.6	0.99692	0.031
8.1	0.33	0.36	7.4	36	156	0.54	0.0	188153fa	10.6	0.99592	0.037
8.1	0.33	0.36	7.4	36	156	0.54	0.0	3c307487	10.6	0.99592	0.037
7.8	0.32	0.33	10.4	47	194	0.58	0.0	e8718b96	9.6	0.99692	0.031
6.6	0.33	0.24	16.05	31	147	0.52	0.0	fa418bfb	9.2	0.99822	0.045
6.6	0.33	0.24	16.05	31	147	0.52	0.0	d7a8bea2	9.2	0.99822	0.045
8.2	0.26	0.33	2.6	11	71	0.49	0.0	b288dc21	9.5	0.99402	0.053
8.3	0.25	0.33	2.5	12	72	0.48	0.0	32419f17	9.5	0.99404	0.053
7	0.26	0.26	10.8	37	184	0.58	0.0	1119a957	10.3	0.99787	0.039
6	0.26	0.15	1.2	35	124	0.46	0.0	a2318b68	8.8	0.99347	0.053
7.5	0.28	0.78	12.1	53	161	0.44	0.0	befd40d1	8.7	0.99838	0.041
7.5	0.27	0.79	11.95	51	159	0.44	0.0	1e92edfd	8.7	0.99839	0.04
7	0.28	0.32	1.7	27	128	0.62	0.0	dda40d94	10.2	0.99375	0.038
5.2	0.16	0.34	0.8	26	77	0.51	0.0	bf8c3ee0	10.1	0.99155	0.029
6.8	0.34	0.1	1.4	29	118	0.41	0.0	f56288be	9.5	0.9936	0.049
7.6	0.25	0.34	1.3	34	176	0.51	0.0	1bcdd45b	9.5	0.99434	0.056
5.6	0.35	0.4	6.3	23	174	0.5	0.0	546b4817	11.6	0.9922	0.022
8.8	0.24	0.23	10.3	12	97	0.4	0.0	f41b2499	10.7	0.99571	0.032
6	0.29	0.21	15.55	20	142	0.54	0.0	b24e2aa8	10.1	0.99658	0.043
6.1	0.27	0.31	1.5	17	83	0.44	0.0	505b4671	11.1	0.99076	0.035
7.4	0.56	0.09	1.5	19	117	0.53	0.0	57a23dd6	9.8	0.99496	0.071
6.8	0.29	0.49	1.4	52	148	0.49	0.0	c4d05066	9	0.9937	0.142
6.1	0.27	0.31	1.5	17	83	0.44	0.0	8697d1d5	11.1	0.99076	0.035
6.3	0.27	0.37	7.9	58	215	0.48	0.0	10e0069f	9.5	0.99542	0.047
6.6	0.24	0.3	13	18	143	0.49	0.0	f5694573	9.4	0.99825	0.052
6.8	0.32	0.3	1	22	113	0.61	0.0	45a3593c	10.2	0.99289	0.049
6.4	0.37	0.37	4.85	39.5	216.5	0.5	0.0	7eb7575e	9.8	0.99432	0.041
6.2	0.26	0.37	7.1	54	201	0.48	0.0	bd3d789b	9.5	0.99523	0.047
6.3	0.27	0.37	7.9	58	215	0.48	0.0	e59f4893	9.5	0.99542	0.047
6.4	0.3	0.16	7.5	55	191	0.49	0.0	d4b80e8c	9	0.9959	0.05
8	0.28	0.32	7.6	61	204	0.55	0.0	ea29bb0b	10.1	0.99543	0.045
6.7	0.24	0.32	10.3	37	122	0.45	0.0	07e3f7fb	8.8	0.99662	0.079
7.9	0.27	0.27	1.7	25	122	0.51	0.0	1e7749fb	11.9	0.99088	0.034
7.9	0.27	0.27	1.7	25	122	0.51	0.0	6987fa98	11.9	0.99088	0.034
6.1	0.28	0.24	19.95	32	174	0.44	0.0	d27c5fc9	9.3	0.99922	0.074
7.7	0.39	0.49	7.7	11	110	0.76	0.0	8a17808d	10	0.9966	0.036
6	0.2	0.24	5.3	49	201	0.43	0.0	957c97af	9.5	0.99466	0.075
6.1	0.28	0.24	19.95	32	174	0.44	0.0	982c02e6	9.3	0.99922	0.074
7.6	0.31	0.23	12.7	20	139	0.5	0.0	1595a1e7	9.7	0.99836	0.054
7.6	0.31	0.23	12.7	20	139	0.5	0.0	9b6aaa4b	9.7	0.99836	0.054
6.3	0.18	0.22	1.5	45	155	0.48	0.0	87173626	10.2	0.99238	0.043
8.6	0.23	0.25	11.3	13	96	0.4	0.0	85392459	10.8	0.99645	0.031
6.8	0.21	0.36	18.1	32	133	0.48	0.0	a1a501ce	8.8	1	0.046
6.8	0.21	0.36	18.1	32	133	0.48	0.0	07647704	8.8	1	0.046
6.9	0.26	0.31	7	37	175	0.49	0.0	2527ca3b	11.4	0.99376	0.039
6.8	0.21	0.36	18.1	32	133	0.48	0.0	6138a1e9	8.8	1	0.046
6.4	0.31	0.4	6.4	39	191	0.52	0.0	ad218a35	9.8	0.99513	0.039
8.6	0.34	0.36	1.4	11	119	0.47	0.0	06232b41	9.4	0.99556	0.045
8.6	0.34	0.36	1.4	11	119	0.47	0.0	0eeccde6	9.4	0.99556	0.045
8.5	0.3	0.28	3.1	54	174	0.43	0.0	09eb8485	9.4	0.99543	0.054
7.4	0.4	0.41	14.1	37	194	0.63	0.0	32068bec	9.4	0.99886	0.053
6.6	0.32	0.34	7.7	63	212	0.48	0.0	684eed91	9.7	0.99526	0.044
7.1	0.34	0.31	5.2	36	140	0.47	0.0	2a755294	12.3	0.99166	0.032
6.6	0.26	0.25	11.6	45	178	0.43	0.0	9d7bdaf0	9.8	0.99691	0.045
8	0.27	0.57	10.4	18	134	0.68	0.0	b6188a04	9	0.99732	0.053
6.2	0.28	0.45	7.5	46	203	0.46	0.0	a8ee5aa2	9.2	0.99573	0.045
6.2	0.3	0.49	11.2	68	215	0.6	0.0	22b49c90	9.4	0.99656	0.058
5.6	0.175	0.29	0.8	20	67	0.48	0.0	96469747	9.9	0.99112	0.043
6.9	0.34	0.36	1.4	13	145	0.52	0.0	d2804b03	9.8	0.99214	0.032
6.9	0.34	0.3	4.7	34	148	0.49	0.0	1b6849ec	12.3	0.99165	0.029
7.1	0.12	0.3	3.1	15	37	0.52	0.0	f3b4d42e	11.9	0.99004	0.018
7.1	0.32	0.29	4	33	170	0.64	0.0	74d0df0c	10.2	0.99463	0.038
7.3	0.51	0.29	11.3	61	224	0.56	0.0	eafc1b71	9.5	0.99683	0.034
7.1	0.12	0.3	3.1	15	37	0.52	0.0	eecbd938	11.9	0.99004	0.018
6.3	0.24	0.55	8.1	67	216	0.5	0.0	bca63656	9.2	0.99596	0.04
7.5	0.41	0.23	14.8	28	174	0.49	0.0	2827ab19	9.7	0.99898	0.054
6.5	0.18	0.33	1.4	35	138	0.6	0.0	94b4c208	11.5	0.99114	0.029
7.3	0.17	0.24	8.1	32	162	0.38	0.0	d61bf963	10.4	0.99508	0.121
8.2	0.2	0.38	3.5	41	174	0.41	0.0	ff5d1565	11.6	0.99306	0.053
7.5	0.41	0.23	14.8	28	174	0.49	0.0	24f013ca	9.7	0.99898	0.054
7.3	0.17	0.24	8.1	32	162	0.38	0.0	bc35f3fc	10.4	0.99508	0.121
6.5	0.18	0.33	1.4	35	138	0.6	0.0	c85b48b0	11.5	0.99114	0.029
7.3	0.16	0.35	1.5	29	108	0.51	0.0	1b1b5972	10.2	0.99342	0.036
6.4	0.16	0.37	1.5	27	109	0.5	0.0	e54ee645	9.8	0.99345	0.037
6.6	0.42	0.13	12.8	26	158	0.47	0.0	2d276829	9	0.99772	0.044
5.8	0.3	0.12	1.6	57	163	0.59	0.0	b0152050	10.5	0.99239	0.036
6.7	0.54	0.27	7.1	8	178	0.38	0.0	faed7935	9.4	0.99502	0.049
6.7	0.54	0.27	7.1	8	178	0.38	0.0	f2ad1f53	9.4	0.99502	0.049
6.4	0.22	0.3	11.2	53	149	0.34	0.0	56f307ad	10.8	0.99479	0.046
6.8	0.23	0.3	1.7	19	95	0.46	0.0	2273453d	10.7	0.99207	0.043
9	0.26	0.34	6.7	21	162	0.5	0.0	c5b5e455	10.6	0.99497	0.029
6.5	0.23	0.25	17.3	15	110	0.42	0.0	e78346a8	9.2	0.99828	0.046
5.9	0.28	0.14	8.6	30	142	0.44	0.0	fad82d2b	9.5	0.99542	0.032
5.9	0.28	0.14	8.6	30	142	0.44	0.0	fc55cbc3	9.5	0.99542	0.032
6.2	0.27	0.18	1.5	20	111	0.5	0.0	7781d6bc	10	0.99228	0.028
9	0.29	0.34	12.1	34	177	0.47	0.0	27072ce7	10.6	0.99706	0.03
9	0.26	0.34	6.7	21	162	0.5	0.0	3b3b0be3	10.6	0.99497	0.029
8.9	0.27	0.34	10.7	19.5	166	0.48	0.0	ae83a17d	10.6	0.99669	0.029
6.5	0.23	0.25	17.3	15	110	0.42	0.0	b18bc429	9.2	0.99828	0.046
6.9	0.32	0.3	1.8	28	117	0.48	0.0	d0e9d7e3	11	0.99269	0.036
7.2	0.22	0.24	1.4	17	159	0.53	0.0	639a811e	11.2	0.99196	0.041
6.7	0.5	0.38	7.5	26	175	0.54	0.0	b662c3a5	9.6	0.99662	0.046
6.2	0.33	0.14	4.8	27	128	0.48	0.0	ed94d577	9.4	0.99475	0.052
6.3	0.26	0.42	7.1	62	209	0.53	0.0	f74dc581	9.5	0.99544	0.045
7.5	0.2	0.47	16.9	51	188	0.62	0.0	20bafc72	9.3	0.99944	0.052
6.2	0.33	0.14	4.8	27	128	0.48	0.0	d75e245c	9.4	0.99475	0.052
6.3	0.26	0.42	7.1	62	209	0.53	0.0	5cfb5f5d	9.5	0.99544	0.045
6.6	0.36	0.52	11.3	8	110	0.46	0.0	2c3d0616	9.4	0.9966	0.046
6.3	0.13	0.42	1.1	63	146	0.72	0.0	954a1407	11.2	0.99066	0.043
6.4	0.15	0.44	1.2	67	150	0.73	0.0	3eb3301e	11.2	0.9907	0.043
6.3	0.13	0.42	1.1	63	146	0.72	0.0	6c206217	11.2	0.99066	0.043
7.6	0.23	0.64	12.9	54	170	0.53	0.0	783559ff	8.8	0.998	0.033
6.4	0.15	0.44	1.2	67	150	0.73	0.0	c2f5d33c	11.2	0.9907	0.043
6.3	0.13	0.42	1.1	63	146	0.72	0.0	32533704	11.2	0.99066	0.043
5.7	0.255	0.65	1.2	17	137	0.42	0.0	c51b00da	9.4	0.99307	0.079
6.9	0.32	0.26	2.3	11	103	0.42	0.0	c19a601a	11.1	0.99106	0.03
6.9	0.28	0.22	10	36	131	0.46	0.0	850f41c7	9.6	0.99696	0.052
6.9	0.32	0.26	2.3	11	103	0.42	0.0	760582f1	11.1	0.99106	0.03
5.7	0.255	0.65	1.2	17	137	0.42	0.0	ced3574d	9.4	0.99307	0.079
6.6	0.41	0.16	1.4	28	160	0.45	0.0	1c1990bd	10.6	0.99167	0.037
7.3	0.37	0.16	14.9	59	240	0.45	0.0	b8f919cc	8.9	0.99902	0.048
6.9	0.21	0.24	1.8	17	80	0.46	0.0	ccf60f34	12.3	0.98992	0.021
6.6	0.24	0.28	1.8	39	132	0.46	0.0	35191bb2	11.4	0.99182	0.028
6.8	0.28	0.36	7	60	207	0.49	0.0	f5bfbae1	9.6	0.99556	0.043
6.6	0.24	0.24	8.6	25	135	0.59	0.0	32538484	10.3	0.99582	0.034
6.6	0.24	0.28	1.8	39	132	0.46	0.0	855457d4	11.4	0.99182	0.028
7	0.16	0.32	1.1	29	80	0.36	0.0	7cab86bb	12.1	0.98972	0.032
7	0.14	0.28	1.3	10	56	0.45	0.0	cf7c190e	9.9	0.99352	0.026
6.3	0.34	0.36	4.9	31	185	0.49	0.0	13172071	9.7	0.9946	0.035
6.8	0.26	0.24	1.9	70	154	0.52	0.0	faa367de	10.5	0.99273	0.043
6.7	0.17	0.42	10.4	85	182	0.44	0.0	5aa30861	8.9	0.99628	0.038
6.5	0.27	0.4	10	74	227	0.5	0.0	486075cf	9.4	0.99582	0.039
6.7	0.25	0.36	8.6	63	206	0.5	0.0	27fb6c46	9.6	0.99553	0.037
5.8	0.3	0.27	1.7	45	104	0.56	0.0	8f490052	12.6	0.98914	0.014
6.4	0.28	0.56	1.7	49	106	0.37	0.0	cb1ab990	9.2	0.99354	0.156
7.7	0.3	0.26	18.95	36	174	0.5	0.0	4fcabb7c	10.4	0.99976	0.053
6.8	0.18	0.3	12.8	19	171	0.52	0.0	5d9d6d37	9	0.99808	0.062
6.8	0.18	0.3	12.8	19	171	0.52	0.0	0508d583	9	0.99808	0.062
6.8	0.18	0.3	12.8	19	171	0.52	0.0	38e59ecf	9	0.99808	0.062
6.8	0.18	0.3	12.8	19	171	0.52	0.0	9e9fd2b0	9	0.99808	0.062
6.8	0.18	0.3	12.8	19	171	0.52	0.0	3bf91333	9	0.99808	0.062
6.8	0.18	0.3	12.8	19	171	0.52	0.0	700f57d5	9	0.99808	0.062
5.1	0.14	0.25	0.7	15	89	0.43	0.0	b33e5002	9.2	0.9919	0.039
6.8	0.18	0.3	12.8	19	171	0.52	0.0	16b4c57a	9	0.99808	0.062
7.2	0.615	0.1	1.4	25	154	0.48	0.0	54424857	9.7	0.99499	0.068
6.9	0.13	0.28	13.3	47	132	0.42	0.0	c087f307	10.1	0.99655	0.05
6.7	0.34	0.3	8.5	24	152	0.64	0.0	198b31c5	11	0.99615	0.059
7.3	0.32	0.29	1.5	32	144	0.55	0.0	e04fb5cc	10.8	0.99296	0.038
6.3	0.21	0.29	11.7	49	147	0.38	0.0	9b7899ad	10.8	0.99482	0.048
5.4	0.5	0.13	5	12	107	0.88	0.0	252cf75e	13.5	0.99079	0.028
8.2	0.52	0.34	1.2	18	167	0.39	0.0	2ac71295	10.6	0.99366	0.042
7.8	0.28	0.31	2.1	28	208	0.64	0.0	a6213398	9.8	0.99434	0.046
6.4	0.22	0.34	1.4	56	115	0.7	0.0	8c16b640	11.7	0.98958	0.023
7.8	0.28	0.31	2.1	28	208	0.64	0.0	e739eeed	9.8	0.99434	0.046
6.9	0.32	0.27	16	58	185	0.6	0.0	b6491adc	9	0.99938	0.034
6.8	0.11	0.42	1.1	51	132	0.74	0.0	d91fcbc8	11.3	0.99059	0.042
6.2	0.26	0.32	15.3	64	185	0.61	0.0	daeb8355	9.4	0.99835	0.031
6.4	0.22	0.34	1.4	56	115	0.7	0.0	2468a390	11.7	0.98958	0.023
6.7	0.3	0.29	2.8	37	107	0.63	0.0	c5e9da6d	11.3	0.99159	0.025
6.7	0.3	0.29	2.8	37	107	0.63	0.0	94b9bf0c	11.3	0.99159	0.025
7.1	0.2	0.3	0.9	4	28	0.36	0.0	87555822	12	0.98931	0.019
7.2	0.2	0.36	2.5	22	157	0.49	0.0	ff652f79	10.6	0.9938	0.028
8.9	0.26	0.33	8.1	47	202	0.46	0.0	9a2b1446	10.8	0.99558	0.024
7.5	0.25	0.32	8.2	53	209	0.46	0.0	4896beb9	10.8	0.99563	0.024
7.1	0.2	0.3	0.9	4	28	0.36	0.0	8a3ce3fa	12	0.98931	0.019
6.3	0.27	0.46	11.1	44	177	0.67	0.0	eba79927	9.4	0.99691	0.053
6.5	0.3	0.39	7.8	61	219	0.5	0.0	0fd2a8b4	9.4	0.9959	0.038
6.7	0.3	0.29	2.8	37	107	0.63	0.0	4ff850f1	11.3	0.99159	0.025
6.6	0.36	0.52	10.1	29	140	0.4	0.0	07d3e998	9.4	0.99628	0.05
6.15	0.21	0.37	3.2	20	80	0.47	0.0	01dfaa96	12	0.99076	0.021
6.5	0.18	0.41	14.2	47	129	0.72	0.0	8e410084	10.3	0.99678	0.039
6.5	0.18	0.41	14.2	47	129	0.72	0.0	a0f5a444	10.3	0.99678	0.039
6.5	0.18	0.41	14.2	47	129	0.72	0.0	25e90273	10.3	0.99678	0.039
6.6	0.26	0.21	2.9	48	126	0.38	0.0	bb51e340	11.3	0.99089	0.026
6.6	0.35	0.35	6	31	150	0.47	0.0	b1901e19	9.4	0.99537	0.063
6.5	0.28	0.28	20.4	40	144	0.38	0.0	1cf51693	8.7	1.0002	0.041
6.6	0.36	0.52	10.1	29	140	0.4	0.0	e9a07cce	9.4	0.99628	0.05
6.6	0.26	0.21	2.9	48	126	0.38	0.0	24afdc37	11.3	0.99089	0.026
6.5	0.18	0.41	14.2	47	129	0.72	0.0	f538fa0b	10.3	0.99678	0.039
6.15	0.21	0.37	3.2	20	80	0.47	0.0	ac0a309d	12	0.99076	0.021
4.5	0.19	0.21	0.95	89	159	0.42	0.0	34d5ec7f	8	0.99332	0.033
8	0.24	0.26	1.7	36	136	0.51	0.0	1f352769	10.4	0.99316	0.033
7.8	0.17	0.23	1.7	39	128	0.41	0.0	e31b7b90	10.7	0.99272	0.029
7	0.24	0.24	9	42	219	0.46	0.0	f6c69095	10.2	0.99636	0.03
5.8	0.6	0	1.3	72	197	0.43	0.0	4959b7f1	10.9	0.99202	0.044
5.9	0.445	0.26	1.4	23	109	0.36	0.0	5935806e	10.5	0.99148	0.027
6.7	0.28	0.28	2.4	36	100	0.39	0.0	dccbe1c7	11.7	0.99064	0.012
6.8	0.44	0.2	16	61	186	0.45	0.0	049a1dfb	8.6	0.99884	0.065
7.2	0.24	0.27	11.4	40	174	0.44	0.0	6a4ea61d	9	0.99773	0.034
8.7	0.31	0.73	14.35	27	191	0.88	0.0	bb3d4b67	8.7	1.00013	0.044
8.2	0.32	0.26	2.1	26	87	0.47	0.0	605a1a78	12.8	0.98974	0.062
7.2	0.24	0.27	11.4	40	174	0.44	0.0	f9ee8474	9	0.99773	0.034
8.7	0.31	0.73	14.35	27	191	0.88	0.0	11e288c3	8.7	1.00013	0.044
7.5	0.13	0.38	1.1	42	104	0.53	0.0	bdba8fdc	11.8	0.99112	0.023
9.2	0.14	0.37	1.1	36	84	0.55	0.0	9d703a2f	11.6	0.99136	0.034
7.4	0.2	0.37	1.2	28	89	0.61	0.0	44f34e80	11.8	0.99132	0.028
6.1	0.15	0.35	15.8	55	158	0.37	0.0	b8a04d28	10.6	0.99642	0.042
7.6	0.23	0.4	5.2	14	91	0.8	0.0	52ccdee6	9.7	0.99488	0.066
8.1	0.33	0.22	5.2	24	151	0.47	0.0	a39e5254	10.3	0.99527	0.047
7.15	0.17	0.24	9.6	56	178	0.44	0.0	4c3bad12	10.2	0.99578	0.119
6.7	0.12	0.3	5.2	38	113	0.44	0.0	6d1775f1	10.1	0.99352	0.048
5.7	0.18	0.36	1.2	9	71	0.68	0.0	e375c517	10.9	0.99199	0.046
5.8	0.15	0.28	0.8	43	127	0.51	0.0	f783dad1	9.3	0.99198	0.037
6.6	0.23	0.29	14.45	29	144	0.54	0.0	4f8daa9e	10.2	0.99756	0.057
7.15	0.17	0.24	9.6	56	178	0.44	0.0	4d2db1d4	10.2	0.99578	0.119
7	0.34	0.39	6.9	43	162	0.53	0.0	69c61e5c	9.5	0.99561	0.066
6.4	0.68	0.26	3.4	25	146	0.4	0.0	2c1c23f8	9.3	0.99347	0.069
7.3	0.22	0.31	2.3	45	80	0.34	0.0	1bb4a9f4	12.9	0.98936	0.018
6.4	0.28	0.27	11	45	148	0.46	0.0	fa72bd5d	8.7	0.99786	0.042
6.9	0.4	0.22	5.95	76	303	0.57	0.0	d58c739c	9.4	0.99705	0.081
6.8	0.19	0.23	5.1	71	204	0.69	0.0	300d1127	10.1	0.9942	0.034
7.1	0.23	0.24	5.4	60	196	0.78	0.0	ef03d251	10	0.9948	0.039
6.45	0.14	0.42	1.2	51	129	0.69	0.0	611ce596	11.1	0.99116	0.05
6.5	0.15	0.44	12.6	65	158	0.7	0.0	94687e96	10.3	0.99688	0.052
7.1	0.15	0.34	1	27	73	0.41	0.0	6c9e36ea	12.2	0.98974	0.033
6.7	0.33	0.34	6.6	35	156	0.48	0.0	5d55738d	9.3	0.99542	0.067
7.2	0.3	0.26	1.5	46	178	0.56	0.0	9f94d763	11.3	0.99154	0.041
7	0.23	0.33	1	46	110	0.65	0.0	5377ee5a	10.8	0.99118	0.043
8	0.13	0.25	1.1	15	86	0.39	0.0	ed6b3d2a	11.2	0.99044	0.033
6.2	0.21	0.34	6.6	36	91	0.45	0.0	b6f3f1af	12.5	0.9914	0.03
8.3	0.4	0.41	8.2	15	122	0.49	0.0	0055ac87	9.3	0.9979	0.05
5.9	0.34	0.31	2	38	142	0.41	0.0	60b9a1ee	12.9	0.98892	0.03
6.6	0.12	0.25	1.4	21	131	0.45	0.0	05084843	11.2	0.99114	0.039
9.6	0.655	0.21	2	21	120	1	0.0	984f62b7	12.6	0.99188	0.039
6.8	0.26	0.4	7.5	45	179	0.49	0.0	4ff0104f	9.3	0.99583	0.046
5.9	0.34	0.31	2	38	142	0.41	0.0	0fbedf68	12.9	0.98892	0.03
5.9	0.3	0.3	2	38	142	0.41	0.0	9d1d0ce4	12.9	0.98892	0.03
7	0.15	0.3	13.3	46	120	0.36	0.0	0ce2f6c5	9.5	0.99704	0.049
7.9	0.37	0.31	2.85	5	24	0.36	0.0	d47cacf4	11.9	0.9911	0.037
7.2	0.35	0.25	5.6	23	120	0.66	0.0	29359655	10.3	0.99334	0.032
7.2	0.32	0.24	5.6	23	120	0.66	0.0	726ced23	10.3	0.99334	0.033
7.6	0.1	0.33	1	33	93	0.68	0.0	1540a53f	11.2	0.99094	0.031
6.2	0.25	0.31	3.2	32	150	0.31	0.0	cf4fb1d3	12	0.99014	0.03
7.1	0.31	0.17	1	21	144	0.4	0.0	ed9b98a3	9.6	0.99304	0.042
7.6	0.18	0.28	7.1	29	110	0.42	0.0	a0cedacd	9.2	0.99652	0.041
8	0.17	0.29	2.4	52	119	0.33	0.0	63d028a2	12.9	0.98944	0.029
7.2	0.19	0.27	11.2	46	149	0.59	0.0	ef3b698f	9.3	0.99772	0.061
7.6	0.32	0.25	9.5	15	136	0.44	0.0	d8ba1566	12.1	0.99367	0.03
7.1	0.31	0.17	1	21	144	0.4	0.0	4c603522	9.6	0.99304	0.042
6.6	0.21	0.29	1.8	35	128	0.48	0.0	354e982e	11.2	0.99183	0.026
7	0.16	0.36	2.6	28	98	0.37	0.0	1eff81d9	11.2	0.99126	0.029
8	0.17	0.29	2.4	52	119	0.33	0.0	7e4776c9	12.9	0.98944	0.029
6.6	0.24	0.38	8	56	187	0.46	0.0	e87b766a	9.2	0.99577	0.042
7.2	0.19	0.27	11.2	46	149	0.59	0.0	23be78c8	9.3	0.99772	0.061
7.6	0.18	0.28	7.1	29	110	0.42	0.0	bbdfcd80	9.2	0.99652	0.041
6.9	0.3	0.25	3.3	26	124	0.5	0.0	cd956246	9.3	0.99428	0.041
6.2	0.28	0.27	10.3	26	108	0.36	0.0	2fc51e47	10.7	0.99388	0.03
6.9	0.31	0.32	1.2	20	166	0.54	0.0	a0f83135	9.8	0.99208	0.024
6.7	0.23	0.25	1.6	28	143	0.54	0.0	7e5e8116	10.3	0.99256	0.036
6.2	0.28	0.27	10.3	26	108	0.36	0.0	f0d7d069	10.7	0.99388	0.03
5.7	0.23	0.28	9.65	26	121	0.38	0.0	74b4d3af	11.3	0.9925	0.025
6.5	0.22	0.5	16.4	36	182	0.49	0.0	6f499f24	8.8	0.99904	0.048
7	0.18	0.37	1.5	16	104	0.5	0.0	8a128019	10.8	0.99216	0.043
6.9	0.31	0.32	1.2	20	166	0.54	0.0	dec92324	9.8	0.99208	0.024
6.9	0.3	0.25	3.3	26	124	0.5	0.0	9b863a04	9.3	0.99428	0.041
6.5	0.46	0.31	5	15	72	0.6	0.0	30181849	11.5	0.99165	0.027
6.5	0.23	0.36	16.3	43	133	0.41	0.0	d1833caf	8.8	0.99924	0.038
6.5	0.23	0.36	16.3	43	133	0.41	0.0	4b663aae	8.8	0.99924	0.038
6.5	0.23	0.36	16.3	43	133	0.41	0.0	723dd4fb	8.8	0.99924	0.038
6.6	0.26	0.38	6.5	68	201	0.38	0.0	4e1ce819	9.4	0.9956	0.17
6.7	0.26	0.39	6.4	64	200	0.38	0.0	c13b9f9c	9.4	0.99562	0.171
7.5	0.28	0.39	10.2	59	209	0.63	0.0	f7cf6cde	9.6	0.9972	0.045
6.5	0.23	0.36	16.3	43	133	0.41	0.0	a819db64	8.8	0.99924	0.038
6.8	0.23	0.42	7.4	56	189	0.48	0.0	1ebda12e	9.3	0.9958	0.044
7.8	0.25	0.34	13.7	66	184	0.75	0.0	3fe3e308	8.9	0.99976	0.044
7.8	0.25	0.34	13.7	66	184	0.75	0.0	c49090a1	8.9	0.99976	0.044
5.6	0.2	0.22	1.3	25	155	0.43	0.0	488447a6	10	0.99296	0.049
6.4	0.21	0.44	7.4	47	182	0.46	0.0	64331daf	9.1	0.9957	0.045
6.8	0.23	0.42	7.4	56	189	0.48	0.0	9e127ab9	9.3	0.9958	0.044
6.8	0.24	0.37	7.45	59	188	0.5	0.0	9a66d2e9	9.4	0.99579	0.043
7.8	0.25	0.28	7.2	46	179	0.6	0.0	c4f7f8b7	10.1	0.99541	0.04
7.8	0.25	0.34	13.7	66	184	0.75	0.0	34f8cbcd	8.9	0.99976	0.044
6.8	0.16	0.29	10.4	59	143	0.4	0.0	0f90b282	10.8	0.99518	0.046
5.2	0.28	0.29	1.1	18	69	0.54	0.0	1b35c736	10	0.99168	0.028
7.5	0.18	0.31	6.5	53	160	0.38	0.0	ecc92692	10.9	0.99276	0.029
7.5	0.26	0.3	4.6	29	92	0.38	0.0	00113273	12	0.99085	0.027
8.2	0.37	0.64	13.9	22	171	0.8	0.0	6e3f47e1	9.3	0.99873	0.043
7.6	0.4	0.27	5.2	32	101	0.62	0.0	50b2f76c	12.3	0.99172	0.03
7.5	0.26	0.25	1.7	29	129	0.56	0.0	bab64cee	10.4	0.99312	0.038
7.5	0.18	0.31	6.5	53	160	0.38	0.0	ea03df39	10.9	0.99276	0.029
6.9	0.23	0.32	16.4	62	153	0.42	0.0	bbf8c531	10.5	0.9972	0.045
5.3	0.2	0.31	3.6	22	91	0.5	0.0	51ee14c6	9.8	0.99278	0.036
6.5	0.17	0.31	1.5	34	121	0.46	0.0	71f480e4	10.5	0.99092	0.041
6.5	0.35	0.28	12.4	86	213	0.51	0.0	f3de195f	9.9	0.9962	0.051
6.5	0.29	0.31	1.7	24	79	0.69	0.0	70a31830	11.4	0.99053	0.035
6.8	0.3	0.22	6.2	41	190	0.51	0.0	1d4d795b	9.2	0.99858	0.06
7.9	0.51	0.36	6.2	30	173	0.53	0.0	e6a4bd9f	9.7	0.9984	0.051
7.9	0.51	0.34	2.6	13	135	0.51	0.0	fb09d143	10	0.99335	0.049
6.5	0.29	0.31	1.7	24	79	0.69	0.0	944b4083	11.4	0.99053	0.035
7.1	0.29	0.28	9.3	50	141	0.49	0.0	ff547e25	10.3	0.9949	0.048
6.5	0.35	0.28	12.4	86	213	0.51	0.0	1b78ac72	9.9	0.9962	0.051
6.5	0.17	0.31	1.5	34	121	0.46	0.0	0feaa163	10.5	0.99092	0.041
7.4	0.2	0.28	9.1	29	95	0.47	0.0	57e365fe	9.8	0.99532	0.047
6.9	0.615	0.42	12	24	131	0.34	0.0	7c898295	9.3	0.99727	0.067
6.8	0.32	0.28	4.8	25	100	0.47	0.0	7328a5de	12.4	0.99026	0.034
6.3	0.2	0.19	12.3	54	145	0.42	0.0	bfedf39d	9.3	0.99668	0.048
6.9	0.615	0.42	12	24	131	0.34	0.0	6d5f5d98	9.3	0.99727	0.067
8	0.23	0.28	2.7	49	165	0.72	0.0	d1070ee5	9.5	0.9952	0.048
6.7	0.27	0.33	3.6	9	45	0.4	0.0	774f2143	10.5	0.99144	0.034
6.7	0.27	0.33	3.6	9	45	0.4	0.0	f7ddde4d	10.5	0.99144	0.034
6.7	0.44	0.22	4.3	19	99	0.53	0.0	b29b35e6	12.8	0.99015	0.032
7	0.34	0.3	1.8	44	142	0.45	0.0	36d0da78	10.8	0.9914	0.045
7.3	0.26	0.33	11.8	48	127	0.55	0.0	5b21342a	10	0.99693	0.057
5.8	0.17	0.34	1.8	96	170	0.9	0.0	326b1fe5	11.8	0.99035	0.045
7.3	0.26	0.33	11.8	48	127	0.55	0.0	393e39fe	10	0.99693	0.057
5.8	0.17	0.34	1.8	96	170	0.9	0.0	7926a8ff	11.8	0.99035	0.045
6.8	0.17	0.36	1.4	38	108	0.66	0.0	97d47f0b	12	0.99006	0.036
7.1	0.43	0.3	6.6	15	138	0.46	0.0	d47867ba	12.6	0.99126	0.025
5.8	0.315	0.27	1.55	15	70	0.4	0.0	2b164fbd	11.9	0.98994	0.026
5.9	0.17	0.28	0.7	5	28	0.32	0.0	2e176229	10.6	0.98985	0.027
6.6	0.34	0.18	6.4	47	240	0.48	0.0	72183a5d	9.2	0.9971	0.082
8.6	0.33	0.34	11.8	42	240	0.52	0.0	ba2392e2	10	0.99882	0.059
5.6	0.12	0.26	4.3	18	97	0.46	0.0	5fd0b7dd	9.2	0.99477	0.038
5.8	0.13	0.26	5.1	19	103	0.47	0.0	1201ab39	9.3	0.99478	0.039
7.7	0.18	0.35	5.8	25	144	0.54	0.0	6cc40475	10.2	0.99576	0.055
7.7	0.16	0.36	5.9	25	148	0.54	0.0	f8355b61	10.2	0.99578	0.054
6	0.26	0.15	1.3	51	154	0.51	0.0	c61d9d22	8.7	0.99354	0.06
7.3	0.32	0.35	1.4	8	163	0.42	0.0	36da8076	10.7	0.99244	0.05
7.7	0.3	0.34	1.2	4	119	0.34	0.0	49d8fd0c	12.1	0.99084	0.048
7.9	0.16	0.3	7.4	58	152	0.37	0.0	9a25b6c0	9.5	0.99612	0.05
6.4	0.27	0.29	10.8	17	118	0.37	0.0	6037aeee	11.2	0.99356	0.028
6.9	0.16	0.37	1.8	36	95	0.59	0.0	1c546d7c	12	0.98952	0.034
7.9	0.16	0.3	7.4	58	152	0.37	0.0	066d49cb	9.5	0.99612	0.05
7.7	0.3	0.34	1.2	4	119	0.34	0.0	0c585083	12.1	0.99084	0.048
7.3	0.32	0.35	1.4	8	163	0.42	0.0	9376d978	10.7	0.99244	0.05
6.4	0.44	0.44	14.4	29	228	0.54	0.0	6fb8581a	8.8	0.99955	0.048
6.3	0.2	0.24	1.7	36	135	0.66	0.0	5ad7f1a9	10.8	0.99374	0.052
6.2	0.29	0.32	3.6	39	138	0.37	0.0	60f35ee4	13.1	0.9892	0.026
7.6	0.39	0.32	3.6	22	93	0.6	0.0	e4c5afcc	12.5	0.99144	0.035
7	0.36	0.32	10.05	37	131	0.33	0.0	30226bd5	11.7	0.99352	0.045
7	0.36	0.32	10.05	37	131	0.33	0.0	adb14ff2	11.7	0.99352	0.045
7	0.36	0.32	10.5	35	135	0.33	0.0	930121cf	11.6	0.9935	0.045
7.6	0.2	0.36	1.9	24	111	0.54	0.0	472dc845	11.3	0.99237	0.043
7.6	0.39	0.32	3.6	22	93	0.6	0.0	6f240743	12.5	0.99144	0.035
6.7	0.2	0.37	1.65	42	103	0.45	0.0	5d2901fd	11.4	0.99022	0.025
6.2	0.235	0.34	1.9	4	117	0.44	0.0	0794e20e	12.2	0.99032	0.036
7.8	0.965	0.6	65.8	8	160	0.69	0.0	2bf186a3	11.7	1.03898	0.074
7.1	0.2	0.31	6.85	32	211	0.59	0.0	e997d546	10.4	0.99587	0.053
7.1	0.2	0.31	7.4	32	211	0.59	0.0	de9a18de	10.4	0.99587	0.053
7.1	0.2	0.31	7.4	32	211	0.59	0.0	4d60185f	10.4	0.99587	0.053
6.4	0.24	0.25	20.2	35	157	0.5	0.0	b6daa866	9.1	0.99976	0.083
8	0.3	0.36	11	8	70	0.41	0.0	891923cd	12.2	0.99354	0.034
6.4	0.24	0.25	20.2	35	157	0.5	0.0	f27098b5	9.1	0.99976	0.083
6.9	0.4	0.42	6.2	41	176	0.54	0.0	84ccf5e4	9.4	0.99552	0.066
6.9	0.4	0.43	6.2	42	178	0.53	0.0	de79b67c	9.4	0.99552	0.065
7.1	0.2	0.31	6.85	32	211	0.59	0.0	dcf25366	10.4	0.99587	0.053
6.6	0.25	0.51	8	61	189	0.49	0.0	bb8019ff	9.2	0.99604	0.047
6.8	0.26	0.44	8.2	52	183	0.51	0.0	6f896ecb	9.4	0.99584	0.046
6.5	0.37	0.3	2.2	39	107	0.53	0.0	1d3fa9a1	13.5	0.98894	0.033
6.8	0.35	0.53	10.1	37	151	0.4	0.0	9099488c	9.4	0.9963	0.053
6.4	0.22	0.32	7.2	15	83	0.55	0.0	665d79b2	10.9	0.993	0.028
6.5	0.37	0.3	2.2	39	107	0.53	0.0	40ec5652	13.5	0.98894	0.033
6.8	0.35	0.53	10.1	37	151	0.4	0.0	39b4e6ae	9.4	0.9963	0.053
6.9	0.31	0.32	1.6	34	114	0.45	0.0	5bf84de9	11.4	0.99068	0.036
6.7	0.16	0.37	1.3	45	125	0.51	0.0	a1c8409a	12.4	0.98964	0.036
6.6	0.25	0.51	8	61	189	0.49	0.0	e1327a14	9.2	0.99604	0.047
6.8	0.26	0.44	8.2	52	183	0.51	0.0	fbad6f6e	9.4	0.99584	0.046
5.6	0.15	0.31	5.3	8	79	0.39	0.0	7c02f26a	10.5	0.9923	0.038
5.5	0.15	0.32	14	16	99	0.38	0.0	8d912674	11.5	0.99437	0.031
6.4	0.22	0.32	7.2	15	83	0.55	0.0	d72d259d	10.9	0.993	0.028
7.3	0.2	0.26	1.6	36	123	0.44	0.0	cfdeefa3	10.8	0.99238	0.04
7.5	0.17	0.71	11.8	52	148	0.46	0.0	769baddb	8.9	0.99801	0.038
7.5	0.18	0.72	9.6	53	151	0.46	0.0	3d7e4c9f	8.9	0.99802	0.039
7	0.27	0.48	6.1	60	184	0.5	0.0	6afa8049	9.4	0.99566	0.042
5.8	0.32	0.31	2.7	25	153	0.73	0.0	b5d6745d	12.2	0.99067	0.049
7.8	0.26	0.31	3.6	22	100	0.47	0.0	23f50149	12.1	0.99066	0.025
7.4	0.3	0.32	1.7	23	128	0.66	0.0	4fd52874	10.9	0.9929	0.03
6.7	0.16	0.34	1.6	27	109	0.58	0.0	a53cd70e	10.1	0.9934	0.026
5.8	0.32	0.31	2.7	25	153	0.73	0.0	142b3a8c	12.2	0.99067	0.049
6.7	0.19	0.39	1	14	71	0.38	0.0	9b7a7868	13	0.98912	0.032
6.6	0.36	0.24	0.9	15	72	0.39	0.0	7bec42a3	11	0.99066	0.038
7.2	0.17	0.41	1.6	24	126	0.49	0.0	2cd310cd	10.8	0.99228	0.052
6.7	0.19	0.39	1	14	71	0.38	0.0	5de1d144	13	0.98912	0.032
6	0.11	0.47	10.6	69	148	0.34	0.0	a14f86b5	9.3	0.9958	0.052
6	0.21	0.34	2	63	123	0.42	0.0	a85ca943	11.4	0.99052	0.042
6.7	0.325	0.82	1.2	49	120	0.38	0.0	9352c897	9.2	0.99312	0.152
6.6	0.4	0.46	6.2	42	241	0.6	0.0	da21ffde	9.9	0.9968	0.056
6.5	0.2	0.24	9.2	25	150	0.44	0.0	9354bfe5	10.5	0.99502	0.044
7.6	0.27	0.34	5	18	56	0.48	0.0	0a108de3	12.4	0.99084	0.04
7.2	0.26	0.4	6.3	52	172	0.53	0.0	9ef417cc	9.5	0.99573	0.047
6.3	0.25	0.22	3.3	41	161	0.5	0.0	ce3a7dd7	10.5	0.99256	0.048
6.5	0.22	0.45	8	52	196	0.48	0.0	622f0ee4	9.1	0.9959	0.053
6.4	0.14	0.31	1.2	53	138	0.35	0.0	22d68619	11.5	0.99084	0.034
6.4	0.14	0.31	1.2	53	138	0.35	0.0	b252d298	11.5	0.99084	0.034
7.1	0.26	0.32	16.2	31	170	0.37	0.0	184945ad	11.2	0.99644	0.044
6.6	0.22	0.34	11.6	59	140	0.4	0.0	8c0215af	10.8	0.99526	0.05
6.6	0.45	0.43	7.2	31	186	0.44	0.0	d1f5a56c	9.4	0.9954	0.064
6.6	0.17	0.3	1.1	13	73	0.58	0.0	e1e6fded	11	0.99095	0.031
7.2	0.44	0.28	3.4	22	112	0.37	0.0	34c99bc5	11.3	0.99188	0.048
6.2	0.15	0.27	1.4	51	117	0.38	0.0	9c187cdb	11.2	0.9909	0.041
6.3	0.25	0.22	3.3	41	161	0.5	0.0	1c2ae97d	10.5	0.99256	0.048
6.5	0.22	0.45	8	52	196	0.48	0.0	ef62d72f	9.1	0.9959	0.053
7.3	0.26	0.3	9.3	35	154	0.5	0.0	bc995dc4	10.4	0.99581	0.05
6.9	0.15	0.29	2.3	14	82	0.58	0.0	b526aa60	11.2	0.99132	0.033
5.8	0.22	0.29	0.9	34	89	0.36	0.0	29768575	11.1	0.98936	0.034
6.5	0.37	0.33	3.5	23	92	0.38	0.0	79bba2bf	11.2	0.99136	0.036
5.5	0.375	0.38	1.7	17	98	0.39	0.0	9068a7e6	10.5	0.99142	0.036
5.9	0.2	0.4	1.3	23	92	0.45	0.0	3132e9d7	10	0.99232	0.047
5.9	0.22	0.38	1.3	24	90	0.47	0.0	30bb5b16	10	0.99232	0.046
8	0.22	0.31	5.6	24	97	0.42	0.0	650b1d34	10.9	0.993	0.049
6.5	0.22	0.29	7.4	16	87	0.56	0.0	a0849e3f	10.9	0.99311	0.028
6.9	0.15	0.29	2.3	14	82	0.58	0.0	e3a0ad37	11.2	0.99132	0.033
5.8	0.2	0.34	1	40	86	0.42	0.0	f7ead224	11.7	0.98993	0.035
6.6	0.31	0.07	1.5	55	144	0.42	0.0	3757b68a	10	0.99208	0.033
7.7	0.43	0.37	10	22	210	0.64	0.0	9a00aa25	9.5	0.99776	0.169
6.7	0.24	0.29	14.9	55	136	0.52	0.0	be54881f	9	0.99839	0.053
7.3	0.23	0.34	9.3	19	86	0.56	0.0	8a95036f	10	0.99574	0.052
7.9	0.2	0.39	1	37	154	0.43	0.0	07285b58	11.9	0.99093	0.041
5.3	0.16	0.39	1	40	101	0.59	0.0	58dc462f	10.6	0.99156	0.028
6.4	0.21	0.28	5.9	29	101	0.4	0.0	806f63a4	11	0.99278	0.047
6.9	0.33	0.26	5	46	143	0.43	0.0	b5feceb5	11.2	0.9924	0.027
5.6	0.18	0.58	1.25	29	129	0.6	0.0	684412e2	12	0.98984	0.034
6.6	0.29	0.31	3.9	39	96	0.6	0.0	bacd8dc9	12.6	0.99035	0.027
6.9	0.33	0.26	5	46	143	0.43	0.0	53a143c0	11.2	0.9924	0.027
6.6	0.21	0.36	0.8	48	113	0.68	0.0	d7ca8418	10.5	0.99165	0.034
7.3	0.21	0.33	1	66	144	0.52	0.0	cb6dc0dc	10.2	0.9923	0.037
6.4	0.21	0.28	5.9	29	101	0.4	0.0	75f758d2	11	0.99278	0.047
5.1	0.11	0.32	1.6	12	90	0.52	0.0	e1d59bbe	12.2	0.99008	0.028
6.5	0.15	0.32	1.3	19	76	0.41	0.0	e895491c	12.3	0.98964	0.036
5.3	0.16	0.39	1	40	101	0.59	0.0	d3099049	10.6	0.99156	0.028
5.6	0.19	0.46	1.1	33	115	0.5	0.0	e4b72e8a	10.4	0.9909	0.032
5.6	0.18	0.58	1.25	29	129	0.6	0.0	1738be4d	12	0.98984	0.034
6.7	0.48	0.32	1.4	22	121	0.53	0.0	415857e2	12.7	0.9889	0.021
6.2	0.23	0.23	1.2	18	128	0.28	0.0	53f166c3	10.6	0.99178	0.018
6	0.17	0.29	5	25	108	0.34	0.0	1baf68e0	12.3	0.99076	0.028
6.7	0.48	0.32	1.4	22	121	0.53	0.0	567c6680	12.7	0.9889	0.021
6.7	0.15	0.38	1.7	20	84	0.53	0.0	b4b10dc3	11.4	0.99046	0.037
4.2	0.17	0.36	1.8	93	161	0.89	0.0	cac04f0f	12	0.98999	0.029
5.8	0.21	0.32	1.6	38	95	0.94	0.0	fc61722a	12.4	0.98946	0.045
5.4	0.23	0.36	1.5	74	121	0.99	0.0	bcd24152	12.1	0.98976	0.03
6.7	0.15	0.38	1.7	20	84	0.53	0.0	7b38da42	11.4	0.99046	0.037
6.4	0.22	0.31	13.9	57	135	0.38	0.0	40f4cc5f	10.7	0.99672	0.04
6.5	0.15	0.55	5.9	75	162	0.4	0.0	bac6db30	9.3	0.99482	0.045
5.9	0.32	0.33	2.1	35	138	0.42	0.0	c81d5ebd	12.7	0.98945	0.027
5.7	0.37	0.3	1.1	24	88	0.39	0.0	334c7790	11.7	0.98883	0.029
7.9	0.25	0.35	6.7	22	64	0.49	0.0	7a19184d	10.7	0.99362	0.039
7.2	0.21	0.28	2.7	38	94	0.43	0.0	69327624	11.8	0.99075	0.033
7	0.24	0.3	6.7	37	125	0.39	0.0	f37a9aa6	9.9	0.99436	0.039
6.8	0.475	0.33	3.95	16	81	0.53	0.0	75297459	13.4	0.98988	0.047
7	0.28	0.32	7.75	30	114	0.64	0.0	57085f61	12.8	0.99158	0.032
6.9	0.4	0.3	10.6	24	87	0.45	0.0	dd0ae49a	12.8	0.99265	0.033
6.6	0.41	0.31	1.6	18	101	0.41	0.0	a82cec54	10.5	0.99195	0.042
6.4	0.2	0.28	2.5	24	84	0.55	0.0	3f69f83a	11.5	0.99168	0.032
8.5	0.22	0.34	0.7	5	25	0.37	0.0	ed9adfac	10.5	0.9918	0.04
8.4	0.36	0.36	11.1	21	132	0.39	0.0	d1147eb2	13	0.99313	0.032
5.2	0.285	0.29	5.15	64	138	0.34	0.0	08f0adda	12.4	0.9895	0.035
6.9	0.2	0.3	4.7	40	148	0.35	0.0	dffb26f9	10.2	0.9932	0.041
6.7	0.42	0.46	9.7	67	234	0.5	0.0	b3c91fa1	9	0.99848	0.054
6.2	0.16	0.34	1.7	85	153	0.86	0.0	c37cd160	12	0.9909	0.038
6.4	0.125	0.36	1.4	22	68	0.5	0.0	0414903e	11.7	0.99014	0.044
6.4	0.44	0.26	2	20	180	0.57	0.0	a523a3a2	10	0.9952	0.054
7	0.31	0.39	7.5	42	218	0.54	0.0	db3b756b	10.3	0.99652	0.055
6.7	0.42	0.46	9.7	67	234	0.5	0.0	470792b1	9	0.99848	0.054
8.6	0.18	0.28	0.8	25	78	0.38	0.0	3d53f7f5	11.1	0.99104	0.032
6.2	0.21	0.26	13.1	59	150	0.46	0.0	f014d48e	9	0.99772	0.05
6.1	0.16	0.37	1.1	37	97	0.58	0.0	7e03dbce	10.5	0.9922	0.031
6.5	0.22	0.32	2.2	36	92	0.59	0.0	b01775ff	11.9	0.99076	0.028
6.2	0.36	0.14	8.9	38	155	0.5	0.0	7539b896	9.4	0.99622	0.036
5.7	0.21	0.25	1.1	26	81	0.52	0.0	efd72f9c	11.4	0.9902	0.035
6.4	0.25	0.32	0.9	40	114	0.58	0.0	732fc1f0	10.8	0.99114	0.034
7.6	0.31	0.26	1.7	40	157	0.46	0.0	8ace39a2	9.8	0.9938	0.073
6.6	0.26	0.46	6.9	59	183	0.45	0.0	5a70ef52	9.3	0.99594	0.047
5.7	0.21	0.25	1.1	26	81	0.52	0.0	55da181e	11.4	0.9902	0.035
6.2	0.2	0.31	1	22	73	0.52	0.0	d8100913	11.3	0.99035	0.031
6.2	0.18	0.3	1	23	73	0.52	0.0	dbc8c52a	11.3	0.99032	0.031
6.1	0.37	0.2	7.6	49	170	0.48	0.0	767c8df0	9.5	0.99558	0.031
6.2	0.36	0.14	8.9	38	155	0.5	0.0	2eaabc3a	9.4	0.99622	0.036
6.5	0.22	0.32	2.2	36	92	0.59	0.0	f680c7f0	11.9	0.99076	0.028
7.7	0.18	0.3	1.2	49	199	0.38	0.0	9050e3fa	9.3	0.99413	0.046
6.9	0.14	0.38	1	22	81	0.54	0.0	fa49109f	11.4	0.99043	0.041
6.9	0.14	0.38	1	22	81	0.54	0.0	42eb0a79	11.4	0.99043	0.041
6	0.44	0.26	3.1	57	128	0.39	0.0	af233faa	12.7	0.98982	0.053
7.1	0.36	0.4	1.95	26	118	0.45	0.0	1cf8bc46	13.5	0.98934	0.033
5.7	0.28	0.28	2.2	15	65	0.52	0.0	d1d2cd44	11.2	0.9902	0.019
6.4	0.16	0.32	8.75	38	118	0.41	0.0	a71d8ea6	10.7	0.99449	0.038
7.4	0.28	0.4	11.9	13	92	0.46	0.0	258f7f2d	10.8	0.99629	0.032
6.7	0.39	0.31	2.7	27	202	0.57	0.0	cb11b7d7	10.5	0.9948	0.054
6.5	0.44	0.47	5.45	44	137	0.32	0.0	cd6118c9	13	0.98984	0.014
6.9	0.22	0.31	6.3	41	131	0.49	0.0	933c2d9d	10.8	0.99326	0.029
6.6	0.22	0.29	14.4	39	118	0.5	0.0	6214e20a	9.1	0.99834	0.046
7.7	0.25	0.3	7.8	67	196	0.5	0.0	d558a5b7	10.1	0.99555	0.038
5.2	0.155	0.33	1.6	13	59	0.84	0.0	33dc645f	11.9	0.98975	0.028
7	0.31	0.31	9.1	45	140	0.31	0.0	76b61201	12	0.99216	0.036
7	0.31	0.31	9.1	45	140	0.31	0.0	dccfa770	12	0.99216	0.036
6.6	0.22	0.29	14.4	39	118	0.5	0.0	98431e73	9.1	0.99834	0.046
5.6	0.21	0.4	1.3	81	147	0.95	0.0	8f44e520	11.6	0.9901	0.041
5.2	0.155	0.33	1.6	13	59	0.84	0.0	bf288a2c	11.9	0.98975	0.028
6.4	0.25	0.32	11.3	69	192	0.5	0.0	bdefcbca	10.2	0.99573	0.038
6.9	0.22	0.31	6.3	41	131	0.49	0.0	6495e35b	10.8	0.99326	0.029
5.3	0.21	0.29	0.7	11	66	0.4	0.0	aac59e7c	9.8	0.99215	0.028
7.1	0.27	0.28	1.25	3	89	0.3	0.0	da2a6fbf	11.4	0.98993	0.023
5.2	0.17	0.27	0.7	11	68	0.41	0.0	d1caf82a	9.8	0.99218	0.03
7.7	0.25	0.3	7.8	67	196	0.5	0.0	f3126981	10.1	0.99555	0.038
7	0.12	0.29	10.3	41	98	0.38	0.0	ea8a7fe6	9.8	0.99564	0.039
7	0.12	0.29	10.3	41	98	0.38	0.0	a84c442c	9.8	0.99564	0.039
7.1	0.29	0.34	7.8	49	128	0.4	0.0	dd75fe8f	10.7	0.99397	0.036
7.2	0.3	0.3	8.7	14	111	0.61	0.0	b2abdeb6	10.6	0.99576	0.022
6.8	0.26	0.46	8.3	49	173	0.47	0.0	a8f4daf3	9.3	0.99601	0.037
7	0.12	0.29	10.3	41	98	0.38	0.0	40f5080f	9.8	0.99564	0.039
7.1	0.29	0.34	7.8	49	128	0.4	0.0	2976c036	10.7	0.99397	0.036
4.9	0.33	0.31	1.2	39	150	0.59	0.0	c0064b2a	14	0.98713	0.016
5.1	0.29	0.28	8.3	27	107	0.37	0.0	b8f6e672	11	0.99308	0.026
5.1	0.29	0.28	8.3	27	107	0.37	0.0	d64b2ace	11	0.99308	0.026
6.8	0.26	0.48	6.2	55	182	0.45	0.0	17820df0	9.4	0.99582	0.049
6	0.28	0.52	5	30	139	0.36	0.0	c9bad6d4	9	0.99494	0.078
6	0.28	0.25	1.8	8	108	0.55	0.0	ce436b47	9	0.9929	0.042
7.2	0.2	0.22	1.6	17	101	0.53	0.0	07958561	10	0.99471	0.044
6.1	0.27	0.25	1.8	9	109	0.54	0.0	86677a0b	9	0.9929	0.041
6	0.28	0.25	1.8	8	108	0.55	0.0	776e5253	9	0.9929	0.042
6.4	0.29	0.3	2.9	25	79	0.6	0.0	856df0d0	12.4	0.99037	0.036
7.4	0.35	0.24	6	28	123	0.44	0.0	1aa25527	11.3	0.99304	0.042
8.1	0.12	0.38	0.9	36	86	0.55	0.0	96225d1d	12	0.99026	0.034
6.4	0.12	0.3	1.1	37	94	0.56	0.0	8870cab6	11.7	0.98986	0.031
7.2	0.2	0.22	1.6	17	101	0.53	0.0	41ff0d62	10	0.99471	0.044
7.3	0.4	0.26	5.45	26	90	0.54	0.0	d2170540	13.2	0.98951	0.016
7.7	0.11	0.34	14.05	41	114	0.59	0.0	4b9f62ab	11	0.99634	0.04
6.9	0.23	0.41	8	30	114	0.54	0.0	71026876	11	0.99368	0.03
6.9	0.38	0.38	13.1	14	94	0.48	0.0	7c1fefb1	9.2	0.99792	0.112
7.5	0.38	0.29	4.9	38	113	0.48	0.0	4da14521	13	0.99026	0.021
5.8	0.19	0.24	1.3	38	128	0.6	0.0	439725b6	10.6	0.99362	0.044
5.5	0.34	0.26	2.2	31	119	0.49	0.0	4febfeb1	13	0.98919	0.021
6.6	0.23	0.3	14.9	33	118	0.54	0.0	4f4eb4a3	9	0.99835	0.051
6.6	0.23	0.3	14.9	33	118	0.54	0.0	c4cd9cec	9	0.99835	0.051
8.4	0.31	0.31	0.95	52	148	0.32	0.0	e7a784a1	11.5	0.99038	0.021
6.7	0.2	0.3	1.4	17	76	0.44	0.0	723b42a1	11	0.99104	0.025
8.4	0.31	0.31	0.95	52	148	0.32	0.0	e0519fe8	11.5	0.99038	0.021
7.3	0.26	0.24	1.7	10	112	0.43	0.0	a241e4c1	9.9	0.99286	0.05
6.3	0.22	0.22	5.6	31	128	0.46	0.0	1a86e711	10.4	0.99296	0.039
6.6	0.23	0.3	14.9	33	118	0.54	0.0	403dbcdc	9	0.99835	0.051
7.5	0.19	0.4	7.1	50	110	0.52	0.0	45562901	9.9	0.9954	0.056
8	0.14	0.33	1.2	71	162	0.47	0.0	3484efdd	11	0.9914	0.045
6.8	0.32	0.39	9.6	34	124	0.35	0.0	e2f6345f	12.1	0.99286	0.026
6.6	0.23	0.2	11.4	45	131	0.51	0.0	bf00d9d0	9.7	0.99604	0.044
6.6	0.23	0.2	11.4	45	131	0.51	0.0	80cffd4b	9.7	0.99604	0.044
6.7	0.36	0.26	7.9	39	123	0.3	0.0	9803f4a7	12.2	0.99119	0.034
6.1	0.38	0.42	5	31	113	0.31	0.0	2aa500ee	12.4	0.99007	0.016
8.5	0.23	0.28	11.1	30	97	0.39	0.0	57372e7f	10.5	0.99507	0.033
7	0.2	0.31	8	29	213	0.57	0.0	7d5f96c9	10.4	0.99596	0.05
6	0.26	0.32	3.8	48	180	0.34	0.0	e4254383	12	0.99011	0.029
6.9	0.3	0.3	10.55	4	28	0.32	0.0	a11fb419	12.7	0.99184	0.037
6.7	0.18	0.28	10.2	29	115	0.45	0.0	2dcbbd77	10.9	0.99469	0.039
6.7	0.18	0.28	10.2	29	115	0.45	0.0	fccb8942	10.9	0.99469	0.039
6.8	0.18	0.28	9.8	29	113	0.45	0.0	be9bafdb	10.9	0.99406	0.039
7.2	0.19	0.31	6.3	17	103	0.52	0.0	31580c45	11.4	0.99305	0.034
6.2	0.16	0.32	1.1	74	184	0.41	0.0	ae8a213e	11	0.99096	0.036
5	0.27	0.32	4.5	58	178	0.31	0.0	6848b7ef	12.6	0.98956	0.032
6.3	0.37	0.28	6.3	45	152	0.46	0.0	5ce1c2e7	11.6	0.9921	0.034
6.6	0.2	0.27	10.9	29	130	0.44	0.0	ed72f260	10.5	0.99496	0.038
6.8	0.18	0.28	9.8	29	113	0.45	0.0	51f78d7e	10.9	0.99406	0.039
6.8	0.18	0.28	9.8	29	113	0.45	0.0	4b08b358	10.9	0.99406	0.039
6.6	0.28	0.34	0.8	42	119	0.37	0.0	8be5d60a	12.5	0.9888	0.037
6.5	0.35	0.36	0.8	32	111	0.5	0.0	9fcb63e2	12.1	0.98942	0.034
6.9	0.25	0.33	1.2	35	158	0.58	0.0	edfb45e0	11.3	0.99082	0.035
6	0.32	0.3	1.3	18	112	0.64	0.0	ecafbe16	13.3	0.98802	0.025
6.8	0.18	0.28	9.8	29	113	0.45	0.0	906e544b	10.9	0.99406	0.039
6.7	0.18	0.28	10.2	29	115	0.45	0.0	8a6ea8ad	10.9	0.99469	0.039
6.6	0.2	0.27	10.9	29	130	0.44	0.0	f24aaf97	10.5	0.99496	0.038
6.3	0.37	0.28	6.3	45	152	0.46	0.0	ed39faa5	11.6	0.9921	0.034
7.2	0.19	0.31	6.3	17	103	0.52	0.0	b7d6e797	11.4	0.99305	0.034
6.3	0.18	0.36	1.2	26	111	0.51	0.0	fa7e17b7	11	0.99074	0.034
6.9	0.3	0.36	0.9	40	156	0.36	0.0	d1b03c9f	12.1	0.98968	0.037
6.2	0.16	0.32	1.1	74	184	0.41	0.0	56c8242f	11	0.99096	0.036
5	0.27	0.32	4.5	58	178	0.31	0.0	0611add0	12.6	0.98956	0.032
5	0.3	0.33	3.7	54	173	0.3	0.0	cd044437	13	0.9887	0.03
6.5	0.2	0.5	18.1	50	221	0.64	0.0	1f5c53d8	8.8	0.99941	0.054
6.7	0.25	0.31	1.35	30.5	218	0.53	0.0	5c61cc95	9.5	0.99388	0.061
6.6	0.22	0.36	5.5	30	105	0.47	0.0	95726d6a	11.8	0.99206	0.029
6.8	0.25	0.37	3.1	29	93	0.45	0.0	94c475e3	12.2	0.99035	0.026
7	0.13	0.37	12.85	36	105	0.55	0.0	f76f65e4	10.7	0.99581	0.042
7	0.45	0.34	19.8	12	67	0.38	0.0	7afc4d9b	11	0.9976	0.04
7.2	0.32	0.3	8.25	14	104	0.44	0.0	5621e80d	11.4	0.99362	0.02
7	0.13	0.37	12.85	36	105	0.55	0.0	6713a5ea	10.7	0.99581	0.042
5.9	0.34	0.3	3.8	57	135	0.34	0.0	7c3846f0	12	0.99016	0.035
6.8	0.22	0.31	6.9	33	121	0.39	0.0	35feb71b	11.9	0.99176	0.037
7.2	0.32	0.3	8.25	14	104	0.44	0.0	f0827df5	11.4	0.99362	0.02
8.4	0.32	0.35	11.7	3	46	0.34	0.0	840280e1	11.8	0.99439	0.029
6.8	0.27	0.29	4.6	6	88	0.48	0.0	4fe0fd1a	10.6	0.99458	0.046
8	0.74	0.21	4	24	133	0.38	0.0	72f1d190	9.7	0.99418	0.05
7	0.45	0.34	19.8	12	67	0.38	0.0	249c9f39	11	0.9976	0.04
7	0.13	0.37	12.85	36	105	0.55	0.0	54817ac8	10.7	0.99581	0.042
5.4	0.22	0.29	1.2	69	152	0.63	0.0	d58c7981	11	0.99178	0.045
8.4	0.22	0.3	8.9	17	118	0.34	0.0	73a4a8a3	10.5	0.99456	0.024
7.4	0.32	0.22	11.7	44	150	0.45	0.0	70168b6a	10.4	0.99578	0.035
7.5	0.18	0.37	6.2	21	138	0.55	0.0	ff03eb6a	10.5	0.99546	0.05
7.1	0.47	0.29	14.8	22	142	0.48	0.0	f92d7966	12	0.99518	0.024
7.1	0.47	0.29	14.8	22	142	0.48	0.0	be84ecf5	12	0.99518	0.024
5.8	0.19	0.25	10.8	33	124	0.41	0.0	92d3af98	9.2	0.99646	0.042
6.7	0.14	0.46	1.6	15	92	0.49	0.0	8ac4d0c6	10.9	0.99264	0.036
6.8	0.24	0.38	8.3	50	185	0.5	0.0	d56683c5	9.5	0.99578	0.045
6.9	0.25	0.47	8.4	36	156	0.55	0.0	3c40d58a	9.4	0.99604	0.042
6	0.24	0.33	2.5	31	85	0.5	0.0	bc9a4ee6	11.3	0.99014	0.026
6.8	0.29	0.34	3.5	26	189	0.58	0.0	4860053d	10.4	0.99489	0.054
6.3	0.33	0.42	17.2	57	170	0.57	0.0	24b4fbe3	9.4	0.99884	0.037
6.5	0.23	0.45	2.1	43	104	0.52	0.0	fccec828	11.3	0.99054	0.027
6.3	0.27	0.29	12.2	59	196	0.4	0.0	c78ec8d4	8.8	0.99782	0.044
6.3	0.2	0.37	11.8	58	130	0.35	0.0	5aa8ad37	10.8	0.99519	0.045
6.2	0.33	0.41	16.8	58	173	0.57	0.0	61dd0539	9.4	0.99882	0.037
6.3	0.33	0.42	17.2	57	170	0.57	0.0	e435dfec	9.4	0.99884	0.037
7.2	0.21	1	1.1	46	114	0.43	0.0	2930483c	9.2	0.9931	0.154
6	0.27	0.3	14.7	15	144	0.53	0.0	0dda1b0b	10.3	0.99666	0.044
5.7	0.12	0.26	5.5	21	99	0.57	0.0	ab6a70ac	9.9	0.99324	0.034
6.9	0.24	0.37	6.1	38	112	0.34	0.0	5dce6e2c	12.4	0.99086	0.027
7.7	0.18	0.53	1.2	42	167	0.44	0.0	8115e8c0	11.9	0.9908	0.041
7.1	0.17	0.43	1.3	33	132	0.56	0.0	22e08c20	11.7	0.99067	0.023
7.5	0.33	0.38	8.7	49	199	0.57	0.0	429f0d38	9.4	0.99711	0.126
6.2	0.255	0.24	1.7	138.5	272	0.53	0.0	8300db41	9.6	0.99452	0.039
7.5	0.33	0.38	8.7	49	199	0.57	0.0	ff560568	9.4	0.99711	0.126
5.6	0.2	0.66	10.2	78	175	0.43	0.0	8792b480	10.4	0.9945	0.043
7.6	0.17	0.36	4.5	26	102	0.47	0.0	763d9c07	9.5	0.99427	0.042
5.8	0.15	0.31	5.9	7	73	0.43	0.0	4856d438	11.9	0.99152	0.036
6.3	0.25	0.44	1.7	36	116	0.4	0.0	20d7e2b6	12.5	0.98935	0.024
6.9	0.28	0.41	1.4	6	55	0.4	0.0	9a8b2e86	13.4	0.98876	0.016
7.2	0.27	0.37	5.4	27	114	0.84	0.0	e284ea2d	12.7	0.99174	0.026
6.2	0.25	0.38	7.9	54	208	0.46	0.0	c00a4bbc	9.1	0.99572	0.045
8.5	0.19	0.48	1.1	23	58	0.5	0.0	b67feb0c	10.5	0.99184	0.026
6.2	0.25	0.54	7	58	176	0.7	0.0	d31dc7b6	10.4	0.99454	0.046
6.2	0.25	0.54	7	58	176	0.7	0.0	be201807	10.4	0.99454	0.046
6.8	0.28	0.43	7.6	30	110	0.59	0.0	b22134d2	12.5	0.99164	0.03
6.2	0.25	0.54	7	58	176	0.7	0.0	a1aec095	10.4	0.99454	0.046
7.4	0.21	0.8	12.3	77	183	0.48	0.0	26624a1f	9	0.99778	0.038
7	0.15	0.38	15.3	54	120	0.42	0.0	0d275580	9.8	0.9975	0.045
7.4	0.21	0.8	12.3	77	183	0.48	0.0	4a295c77	9	0.99778	0.038
7.3	0.28	0.42	1.2	29	142	0.43	0.0	0d1eae5e	10.7	0.99205	0.033
6.1	0.18	0.38	2.3	28	111	0.49	0.0	bb79a24c	12.4	0.98962	0.033
7	0.53	0.43	6.1	6	76	0.5	0.0	577055d5	12.5	0.99118	0.029
6.8	0.28	0.43	7.6	30	110	0.59	0.0	09ddf9e2	12.5	0.99164	0.03
6.5	0.36	0.38	10.2	20	82	0.43	0.0	f8c1b217	12.1	0.99274	0.028
7.5	0.25	0.47	4.1	95	163	0.59	0.0	f5edd7b0	11.3	0.99184	0.041
6.7	0.24	0.41	2.9	48	122	0.43	0.0	afdb5a03	12	0.99052	0.039
6.6	0.25	0.33	8.5	29	141	0.6	0.0	129f5652	10.4	0.99546	0.042
6.4	0.15	0.4	1.5	23	87	0.46	0.0	3d4b1c6b	12.2	0.98972	0.042
6.3	0.28	0.3	3.1	24	115	0.43	0.0	a4d0719b	8.6	0.9942	0.039
6.2	0.25	0.38	7.9	54	208	0.46	0.0	8d0c42bb	9.1	0.99572	0.045
7.1	0.28	0.35	3.5	35	91	0.33	0.0	7d82849b	12.1	0.99022	0.028
6.6	0.35	0.34	4.9	9	125	0.81	0.0	850be8ba	12	0.99253	0.032
8.5	0.19	0.48	1.1	23	58	0.5	0.0	7f698964	10.5	0.99184	0.026
6.2	0.25	0.54	7	58	176	0.7	0.0	f574ecfe	10.4	0.99454	0.046
6	0.35	0.51	1.2	10	102	0.42	0.0	ba19925c	11.9	0.9903	0.029
5.8	0.31	0.32	4.5	28	94	0.52	0.0	a3decf9b	13.7	0.98906	0.024
6.6	0.17	0.35	2.6	33	78	0.72	0.0	19df0f53	11.3	0.99146	0.03
8.5	0.23	0.4	9.9	24	88	0.42	0.0	9e3087fb	10.5	0.9951	0.036
5.8	0.31	0.32	4.5	28	94	0.52	0.0	5441b5ac	13.7	0.98906	0.024
6.1	0.2	0.34	9.5	38	201	0.44	0.0	b5e2cb00	10.1	0.995	0.041
6.3	0.37	0.37	1.5	12	76	0.39	0.0	94c87b2f	12.3	0.98876	0.024
6.2	0.36	0.38	3.2	20	89	0.33	0.0	b3f198c2	12	0.98956	0.031
6.6	0.17	0.35	2.6	33	78	0.72	0.0	4fbf0bb1	11.3	0.99146	0.03
6.3	0.28	0.47	11.2	61	183	0.51	0.0	737f3898	9.5	0.99592	0.04
7.6	0.27	0.52	3.2	28	152	0.53	0.0	6c26e6d9	11.4	0.99129	0.043
7	0.25	0.45	2.3	40	118	0.48	0.0	056fc060	11.9	0.99064	0.045
9.7	0.24	0.49	4.9	3	18	0.54	0.0	d018dd23	10	0.99368	0.032
9.7	0.24	0.49	4.9	3	18	0.54	0.0	e335192f	10	0.99368	0.032
6.8	0.13	0.39	1.4	19	102	0.6	0.0	f17a7265	11.3	0.99121	0.034
6.6	0.78	0.5	1.5	30	133	0.48	0.0	1ce51443	11.7	0.99104	0.045
5.1	0.33	0.27	6.7	44	129	0.39	0.0	989e623b	11	0.99221	0.022
6.7	0.34	0.4	2.1	34	111	0.48	0.0	a6fa3e45	12.2	0.98924	0.033
6.7	0.14	0.51	4.3	57	124	0.54	0.0	45733cff	10.7	0.99176	0.028
7	0.26	0.34	10.9	25	84	0.34	0.0	84c65b09	10.9	0.99432	0.038
6.5	0.29	0.26	7	18	113	0.38	0.0	10dfeea9	10.2	0.99366	0.04
7	0.25	0.45	2.3	40	118	0.48	0.0	811ce5e7	11.9	0.99064	0.045
7.6	0.21	0.49	2.5	20	130	0.48	0.0	060bca49	11.1	0.99178	0.047
7.7	0.26	0.51	2.6	26	159	0.5	0.0	4a2ca34e	11.2	0.99126	0.045
7.6	0.27	0.52	3.2	28	152	0.53	0.0	447fb0a9	11.4	0.99129	0.043
7.7	0.25	0.49	2.5	31	169	0.57	0.0	ff40e17b	10.6	0.99252	0.047
7.6	0.35	0.46	14.7	33	151	0.53	0.0	537dc8ae	10.3	0.99709	0.047
6.9	0.3	0.36	4.5	31	203	0.57	0.0	f60329a3	10.4	0.99513	0.054
6.7	0.24	0.46	2.2	19	111	0.62	0.0	733e390e	11.9	0.99045	0.033
6.5	0.23	0.39	1.9	41	98	0.43	0.0	5cb22d0b	11.9	0.99	0.036
7.6	0.23	0.34	1.6	24	129	0.7	0.0	0af8764e	10.4	0.99305	0.043
6.5	0.24	0.39	17.3	22	126	0.47	0.0	f7885012	9.2	0.99888	0.052
6.3	0.17	0.32	4.2	37	117	0.43	0.0	ac54a635	11.3	0.99182	0.04
6.3	0.17	0.32	4.2	37	117	0.43	0.0	ebeb3849	11.3	0.99182	0.04
6.7	0.21	0.37	2.5	35	89	0.5	0.0	46a753b1	11	0.9913	0.034
6.5	0.23	0.39	1.9	41	98	0.43	0.0	7a202cf5	11.9	0.99	0.036
5.9	0.28	0.39	1.4	47	147	0.64	0.0	f074fa8b	12.9	0.98836	0.031
5.9	0.19	0.37	0.8	3	21	0.31	0.0	7fd19de6	10.8	0.9897	0.027
6.2	0.25	0.42	8	53	206	0.47	0.0	2d1d3f43	9.1	0.99586	0.049
7.6	0.23	0.34	1.6	24	129	0.7	0.0	dff4fe49	10.4	0.99305	0.043
5.6	0.18	0.27	1.7	31	103	0.37	0.0	3baca9bd	12.9	0.98892	0.03
5.5	0.18	0.22	5.5	10	86	0.44	0.0	860d8b11	12.2	0.99156	0.037
6.5	0.24	0.39	17.3	22	126	0.47	0.0	150081e7	9.2	0.99888	0.052
7.4	0.23	0.38	8.6	41	150	0.46	0.0	14916616	10.3	0.99534	0.052
7.2	0.17	0.37	6.9	47	128	0.46	0.0	2a3348cc	11	0.99322	0.059
7.6	0.3	0.38	2.1	10	98	0.65	0.0	de06e4cb	11	0.99296	0.043
5	0.24	0.21	2.2	31	100	0.62	0.0	830e1885	11.7	0.99098	0.039
6.1	0.21	0.38	1.5	37	122	0.43	0.0	d5c091d1	12	0.98972	0.039
6.5	0.33	0.38	2.5	30	148	0.43	0.0	c40ccbb2	12.7	0.98964	0.047
6.3	0.35	0.26	17.6	59	198	0.49	0.0	398a1374	8.8	0.99918	0.061
6.3	0.17	0.32	4.2	37	117	0.43	0.0	af7e60cc	11.3	0.99182	0.04
6.6	0.25	0.35	2.9	38	121	0.4	0.0	7cac29c2	12.8	0.99008	0.034
6.5	0.16	0.33	4.8	45	114	0.44	0.0	bb0dd689	11.2	0.992	0.043
6.6	0.39	0.39	11.9	51	221	0.51	0.0	0a9a3c2a	8.9	0.99851	0.057
5.6	0.19	0.27	0.9	52	103	0.39	0.0	2a8cedad	11.2	0.99026	0.04
6.2	0.25	0.39	1.3	42	135	0.4	0.0	2c9f009d	11.1	0.9906	0.051
6.9	0.22	0.43	6.4	34	115	0.51	0.0	91ae1550	10.8	0.99293	0.042
6.2	0.19	0.29	4.3	33	126	0.42	0.0	3baa3d34	9.3	0.99658	0.045
6.6	0.39	0.39	11.9	51	221	0.51	0.0	5947568f	8.9	0.99851	0.057
5.9	0.33	0.32	8.1	9	34	0.36	0.0	047766f6	12.7	0.9911	0.038
7.8	0.17	0.5	1.3	35	140	0.4	0.0	b6533943	12	0.9904	0.045
5.5	0.19	0.27	0.9	52	103	0.39	0.0	1a5cd164	11.2	0.99026	0.04
6.2	0.23	0.36	17.2	37	130	0.43	0.0	9917a822	8.8	0.99946	0.039
6.2	0.23	0.36	17.2	37	130	0.43	0.0	b58ea371	8.8	0.99946	0.039
6.2	0.23	0.36	17.2	37	130	0.43	0.0	6599232d	8.8	0.99946	0.039
7.2	0.32	0.4	8.7	45	154	0.47	0.0	d1a6c798	10.4	0.99568	0.038
6.2	0.23	0.36	17.2	37	130	0.43	0.0	cbe7c1c1	8.8	0.99946	0.039
7.2	0.32	0.4	8.7	45	154	0.47	0.0	2fab2382	10.4	0.99568	0.038
5.8	0.39	0.47	7.5	12	88	0.45	0.0	e7f91541	14	0.9907	0.027
6.2	0.23	0.36	17.2	37	130	0.43	0.0	ba0c9e3e	8.8	0.99946	0.039
7.6	0.25	1.23	4.6	51	294	0.43	0.0	d26cb334	13.1	0.99018	0.035
5.8	0.29	0.33	3.7	30	88	0.42	0.0	e62262bf	12.3	0.98994	0.029
7.2	0.4	0.38	2.2	40	109	0.46	0.0	b3834a60	12.6	0.99075	0.03
6.8	0.39	0.34	7.4	38	133	0.44	0.0	3c3bd0e6	12	0.99212	0.02
6.1	0.17	0.42	15.1	28	124	0.47	0.0	51b21a7e	9.5	0.99684	0.033
6.8	0.39	0.34	7.4	38	133	0.44	0.0	707f3599	12	0.99212	0.02
7.1	0.36	0.37	4.8	39	114	0.49	0.0	a222f6b7	12.7	0.99036	0.019
6.9	0.19	0.32	7.9	30	130	0.39	0.0	3e8c493c	10.5	0.99456	0.042
6.5	0.34	0.46	1	6	80	0.54	0.0	2a4dfe92	12.9	0.98865	0.023
6.1	0.17	0.42	15.1	28	124	0.47	0.0	a195075a	9.5	0.99684	0.033
6.8	0.39	0.34	7.4	38	133	0.44	0.0	c1e626a8	12	0.99212	0.02
7.1	0.36	0.37	4.8	39	114	0.49	0.0	9a1cdbc0	12.7	0.99036	0.019
7.8	0.3	0.36	4.6	20	198	0.66	0.0	96e9f162	11.9	0.99222	0.024
6.1	0.68	0.52	1.4	32	123	0.45	0.0	d9f46146	12	0.99022	0.037
5.2	0.34	0.37	6.2	42	133	0.41	0.0	7da7791e	12.5	0.99076	0.031
5.6	0.28	0.4	6.1	36	118	0.43	0.0	e4f86ad7	12.1	0.99144	0.034
6.2	0.19	0.38	5.1	22	82	0.36	0.0	4de94f28	12.5	0.98961	0.019
5.7	0.16	0.26	6.3	28	113	0.58	0.0	65a77364	9.9	0.9936	0.043
7.6	0.17	0.46	0.9	63	147	0.41	0.0	a2eb905b	10.7	0.99126	0.036
7.3	0.2	0.39	2.3	24	87	0.35	0.0	672ed81f	12	0.99044	0.048
6.7	0.33	0.36	6.6	34	116	0.31	0.0	67aa5e0c	12.2	0.99123	0.042
6.7	0.33	0.34	7.5	39	124	0.32	0.0	f70ac1cd	12.4	0.99123	0.036
6.9	0.36	0.35	8.6	37	125	0.32	0.0	3fae295c	12.4	0.9916	0.038
7.8	0.21	0.34	11.9	55	140	0.31	0.0	e1b6ffc8	10.3	0.9959	0.039
7.3	0.2	0.39	2.3	24	87	0.35	0.0	c23fcb88	12	0.99044	0.048
5.6	0.41	0.22	7.1	44	154	0.4	0.0	d50531b1	10.5	0.9931	0.05
7.6	0.15	0.35	4.3	23	98	0.44	0.0	c93b2549	9.5	0.99422	0.051
8.5	0.2	0.4	1.1	31	106	0.35	0.0	fc4e7441	10.5	0.99194	0.046
6.5	0.24	0.38	1	31	90	0.36	0.0	a799e8f9	12.3	0.98926	0.027
8.3	0.16	0.37	7.9	38	107	0.37	0.0	c6faa365	11.9	0.99306	0.025
5.5	0.12	0.33	1	23	131	0.45	0.0	99fae1dd	9.8	0.99164	0.038
6.5	0.24	0.38	1	31	90	0.36	0.0	d93b5ff3	12.3	0.98926	0.027
6.2	0.1	0.41	1	17	76	0.56	0.0	11aa35a6	11.4	0.98988	0.04
6.5	0.21	0.4	7.3	49	115	0.43	0.0	52bf2766	11	0.99268	0.041
8.7	0.3	0.59	1.7	10	70	0.56	0.0	53e6c1d2	10.8	0.99373	0.046
6.7	0.18	0.37	1.3	42	125	0.37	0.0	06f6d7b0	12.8	0.98939	0.027
7	0.17	0.36	6.4	42	123	0.5	0.0	c364030d	11	0.99318	0.055
6.6	0.19	0.33	1.8	42	148	0.36	0.0	b632e1bd	10.2	0.99196	0.035
5.8	0.28	0.3	1.5	31	114	0.6	0.0	a7f574ee	12.5	0.98952	0.026
7.6	0.24	0.44	3.8	49	146	0.37	0.0	73b3c196	11.6	0.9911	0.037
8.3	0.16	0.37	7.9	38	107	0.37	0.0	65219807	11.9	0.99306	0.025
5.5	0.12	0.33	1	23	131	0.45	0.0	9f78b83a	9.8	0.99164	0.038
5.7	0.16	0.32	1.2	7	89	0.48	0.0	26827b5a	11	0.99111	0.036
7	0.21	0.42	5.3	36	123	0.52	0.0	22163f8e	10.9	0.99321	0.037
6.4	0.22	0.38	9.1	35	127	0.3	0.0	a9ff0528	11	0.99326	0.044
7.9	0.34	0.44	6.5	47	126	0.37	0.0	48fb542a	12.5	0.99124	0.027
6.4	0.22	0.38	9.1	35	127	0.3	0.0	636759fa	11	0.99326	0.044
6.8	0.21	0.4	6.3	40	121	0.53	0.0	ca16713e	12	0.99214	0.032
5.2	0.31	0.36	5.1	46	145	0.31	0.0	f7173fc1	12.4	0.9897	0.031
7.9	0.34	0.44	6.5	47	126	0.37	0.0	641948e6	12.5	0.99124	0.027
5.6	0.42	0.34	2.4	34	97	0.38	0.0	7d02a70a	12.8	0.98915	0.022
6.4	0.22	0.38	9.1	35	127	0.3	0.0	d5349e0c	11	0.99326	0.044
6.8	0.28	0.34	7.5	34	177	0.43	0.0	cbd17200	9.1	0.99692	0.035
6.8	0.45	0.36	5	28	156	0.4	0.0	bb84f882	12.4	0.991	0.033
6.6	0.29	0.39	6.75	22	98	0.8	0.0	38fa5f84	12.9	0.9913	0.031
6.8	0.21	0.42	1.2	24	126	0.87	0.0	c3ab818c	10.9	0.99234	0.045
6.8	0.25	0.24	1.6	39	164	0.58	0.0	8ae9760c	10.8	0.99402	0.045
6.4	0.21	0.34	16.05	56	142	0.38	0.0	55409542	10.6	0.99678	0.04
5.8	0.33	0.23	5	29	106	0.52	0.0	c21b5f0d	9	0.99458	0.053
8.2	0.3	0.44	12.4	52	154	0.33	0.0	8b683d20	12	0.99452	0.043
6.4	0.24	0.32	0.95	23	131	0.35	0.0	65c483ee	11.8	0.99033	0.041
7.5	0.18	0.45	4.6	67	158	0.38	0.0	e6108b69	10.6	0.9927	0.041
5.2	0.335	0.2	1.7	17	74	0.48	0.0	1173c7ef	12.3	0.99002	0.033
7.1	0.14	0.33	1	20	54	0.64	0.0	89e2c2f9	11.5	0.99057	0.104
7.2	0.13	0.46	1.3	48	111	0.45	0.0	43a64999	11.1	0.99127	0.044
5.8	0.33	0.23	5	29	106	0.52	0.0	0728a643	9	0.99458	0.053
6.5	0.29	0.25	2.5	8	111	0.44	0.0	35e02f30	9.9	0.9927	0.142
6.2	0.35	0.31	2.6	37	92	0.53	0.0	df6eaa2c	12.8	0.98938	0.036
9	0.38	0.53	2.1	19	76	0.57	0.0	b67e9ab7	12.9	0.99001	0.102
6.6	0.24	0.38	12.75	8	74	0.57	0.0	1ad87f0c	12.9	0.99386	0.034
6.6	0.16	0.34	1.1	41	115	0.68	0.0	f4bde3ec	12	0.9899	0.037
8.2	0.3	0.44	12.4	52	154	0.33	0.0	67f90cb0	12	0.99452	0.043
5.7	0.15	0.28	3.7	57	151	0.27	0.0	72ef8b39	11.2	0.9913	0.045
6.6	0.33	0.4	2.65	35	86	0.39	0.0	05982fcf	13.3	0.98916	0.041
5.7	0.2	0.3	2.5	38	125	0.5	0.0	521694aa	9.9	0.99276	0.046
6.8	0.27	0.37	8.2	52	192	0.52	0.0	f6937687	9.5	0.99586	0.055
6.8	0.27	0.42	7.3	58	200	0.49	0.0	1b1243db	9.4	0.99556	0.054
6.2	0.2	0.26	1.1	42	119	0.6	0.0	6e7463fe	11	0.99158	0.047
6.7	0.13	0.57	6.6	60	150	0.43	0.0	81fe389e	9.4	0.99548	0.056
6.8	0.21	0.37	7	27	107	0.82	0.0	a0ab3937	11.5	0.99206	0.038
6.7	0.31	0.32	14.5	6	79	0.34	0.0	97594302	12.5	0.99412	0.038
6.2	0.2	0.29	11.8	21	93	0.34	0.0	5b13b301	11.9	0.99364	0.035
6.6	0.25	0.34	3	22	141	0.47	0.0	e879be83	10.4	0.99338	0.054
5.7	0.15	0.28	3.7	57	151	0.27	0.0	be7ec945	11.2	0.9913	0.045
6.9	0.22	0.39	6	44	141	0.33	0.0	171309e8	12.5	0.99123	0.035
6.4	0.23	0.35	4.6	43	147	0.4	0.0	67a701c1	11	0.99216	0.039
7.6	0.27	0.29	2.5	37	115	0.37	0.0	6e9b7eee	9.8	0.99328	0.059
6.6	0.34	0.24	3.3	29	99	0.4	0.0	5266a47f	12.3	0.99031	0.034
6.4	0.16	0.42	1	29	113	0.52	0.0	8c88b1f1	11	0.9908	0.036
5.8	0.3	0.42	1.1	19	113	0.46	0.0	25f522e0	12.6	0.98871	0.036
7	0.29	0.35	1.4	42	109	0.62	0.0	15790a19	11.6	0.99119	0.036
6.6	0.34	0.24	3.3	29	99	0.4	0.0	0674be5c	12.3	0.99031	0.034
6.7	0.21	0.36	8.55	20	86	0.22	0.0	ca8a204d	13.4	0.99146	0.02
7.6	0.27	0.29	2.5	37	115	0.37	0.0	0747bda8	9.8	0.99328	0.059
6.8	0.22	0.41	6.7	39	116	0.46	0.0	5867fd33	11.5	0.99245	0.034
7.7	0.27	0.49	3.8	46	139	0.38	0.0	1c909882	11.6	0.99116	0.037
6	0.42	0.41	12.4	50	179	0.6	0.0	c7e1c464	9.7	0.99622	0.032
5.7	0.21	0.32	1.6	33	122	0.52	0.0	a9b72720	11.9	0.99044	0.03
5.6	0.2	0.36	2.5	16	125	0.49	0.0	7ed87f24	10	0.99282	0.048
7.4	0.22	0.26	1.2	18	97	0.41	0.0	b4208d3a	9.7	0.99245	0.035
6.2	0.38	0.42	2.5	34	117	0.59	0.0	70ee1949	11.6	0.99132	0.038
5.9	0.54	0	0.8	12	82	0.36	0.0	75711630	8.8	0.99286	0.032
6.2	0.53	0.02	0.9	6	81	0.35	0.0	d27bf99f	9.5	0.99234	0.035
6.6	0.34	0.4	8.1	68	170	0.5	0.0	b9d1ad0b	9.53333333333333	0.99494	0.046
6.6	0.34	0.4	8.1	68	170	0.5	0.0	4afa70b9	9.53333333333333	0.99494	0.046
5	0.235	0.27	11.75	34	118	0.5	0.0	8d321587	9.4	0.9954	0.03
5.5	0.32	0.13	1.3	45	156	0.38	0.0	f0418906	10.7	0.99184	0.037
4.9	0.47	0.17	1.9	60	148	0.35	0.0	cfcdd8e6	11.5	0.98964	0.035
6.5	0.33	0.38	8.3	68	174	0.5	0.0	27f0784d	9.6	0.99492	0.048
6.6	0.34	0.4	8.1	68	170	0.5	0.0	dd66866e	9.55	0.99494	0.046
6.2	0.21	0.28	5.7	45	121	1.08	0.0	784f8ffc	12.15	0.99168	0.028
6.2	0.41	0.22	1.9	5	56	0.79	0.0	adb6ab66	13	0.98928	0.023
6.8	0.22	0.36	1.2	38	127	0.54	0.0	789db52f	9.2	0.9933	0.052
4.9	0.235	0.27	11.75	34	118	0.5	0.0	d3121c80	9.4	0.9954	0.03
6.1	0.34	0.29	2.2	25	100	0.44	0.0	8f455bb1	11.8	0.98938	0.036
5.7	0.21	0.32	0.9	38	121	0.46	0.0	79338bc4	10.6	0.99074	0.038
6.5	0.23	0.38	1.3	29	112	0.54	0.0	81ef8be1	9.7	0.99298	0.032
6.2	0.21	0.29	1.6	24	92	0.5	0.0	ad2117f8	11.2	0.99114	0.039
6.6	0.32	0.36	8	57	168	0.46	0.0	d4589d00	9.6	0.9949	0.047
6.5	0.24	0.19	1.2	30	111	0.46	0.0	7d191ad9	9.4	0.99254	0.041
5.5	0.29	0.3	1.1	20	110	0.38	0.0	70a8bd43	12.8	0.98869	0.022
6	0.21	0.38	0.8	22	98	0.32	0.0	8630ef73	11.8	0.98941	0.02
7.4	0.7	0	1.9	11	34	0.56	1.0	31454555	9.4	0.9978	0.076
7.8	0.88	0	2.6	25	67	0.68	1.0	892496a8	9.8	0.9968	0.098
7.8	0.76	0.04	2.3	15	54	0.65	1.0	a1730d72	9.8	0.997	0.092
11.2	0.28	0.56	1.9	17	60	0.58	1.0	a3879163	9.8	0.998	0.075
7.4	0.7	0	1.9	11	34	0.56	1.0	868c1b5c	9.4	0.9978	0.076
7.4	0.66	0	1.8	13	40	0.56	1.0	811b4172	9.4	0.9978	0.075
7.9	0.6	0.06	1.6	15	59	0.46	1.0	4a2b03d0	9.4	0.9964	0.069
7.3	0.65	0	1.2	15	21	0.47	1.0	cb78e642	10	0.9946	0.065
7.8	0.58	0.02	2	9	18	0.57	1.0	4d0ea7b2	9.5	0.9968	0.073
7.5	0.5	0.36	6.1	17	102	0.8	1.0	6f59a4af	10.5	0.9978	0.071
6.7	0.58	0.08	1.8	15	65	0.54	1.0	718b7e41	9.2	0.9959	0.097
7.5	0.5	0.36	6.1	17	102	0.8	1.0	9e6d3464	10.5	0.9978	0.071
5.6	0.615	0	1.6	16	59	0.52	1.0	1e99efb6	9.9	0.9943	0.089
7.8	0.61	0.29	1.6	9	29	1.56	1.0	c3c5615f	9.1	0.9974	0.114
8.9	0.62	0.18	3.8	52	145	0.88	1.0	509650e5	9.2	0.9986	0.176
8.9	0.62	0.19	3.9	51	148	0.93	1.0	53bf3e4f	9.2	0.9986	0.17
8.5	0.28	0.56	1.8	35	103	0.75	1.0	4fbe634d	10.5	0.9969	0.092
8.1	0.56	0.28	1.7	16	56	1.28	1.0	299733c1	9.3	0.9968	0.368
7.4	0.59	0.08	4.4	6	29	0.5	1.0	695f7e3e	9	0.9974	0.086
7.9	0.32	0.51	1.8	17	56	1.08	1.0	c2e0dd19	9.2	0.9969	0.341
8.9	0.22	0.48	1.8	29	60	0.53	1.0	c402931e	9.4	0.9968	0.077
7.6	0.39	0.31	2.3	23	71	0.65	1.0	2c8b5cc5	9.7	0.9982	0.082
7.9	0.43	0.21	1.6	10	37	0.91	1.0	5711fd34	9.5	0.9966	0.106
8.5	0.49	0.11	2.3	9	67	0.53	1.0	ef0d7a78	9.4	0.9968	0.084
6.9	0.4	0.14	2.4	21	40	0.63	1.0	e97bcd38	9.7	0.9968	0.085
6.3	0.39	0.16	1.4	11	23	0.56	1.0	35be7547	9.3	0.9955	0.08
7.6	0.41	0.24	1.8	4	11	0.59	1.0	5e6d08f7	9.5	0.9962	0.08
7.9	0.43	0.21	1.6	10	37	0.91	1.0	42e73e23	9.5	0.9966	0.106
7.1	0.71	0	1.9	14	35	0.55	1.0	6c5b2cb0	9.4	0.9972	0.08
7.8	0.645	0	2	8	16	0.59	1.0	2f18d420	9.8	0.9964	0.082
6.7	0.675	0.07	2.4	17	82	0.54	1.0	cd863978	10.1	0.9958	0.089
6.9	0.685	0	2.5	22	37	0.57	1.0	d152ef14	10.6	0.9966	0.105
8.3	0.655	0.12	2.3	15	113	0.66	1.0	a216d990	9.8	0.9966	0.083
6.9	0.605	0.12	10.7	40	83	0.52	1.0	27f71641	9.4	0.9993	0.073
5.2	0.32	0.25	1.8	13	50	0.55	1.0	36f1c1e2	9.2	0.9957	0.103
7.8	0.645	0	5.5	5	18	0.55	1.0	903e83e0	9.6	0.9986	0.086
7.8	0.6	0.14	2.4	3	15	0.6	1.0	29cb35a5	10.8	0.9975	0.086
8.1	0.38	0.28	2.1	13	30	0.73	1.0	c78b7c73	9.7	0.9968	0.066
5.7	1.13	0.09	1.5	7	19	0.48	1.0	bb8d32ec	9.8	0.994	0.172
7.3	0.45	0.36	5.9	12	87	0.83	1.0	4d1626a6	10.5	0.9978	0.074
7.3	0.45	0.36	5.9	12	87	0.83	1.0	e9e3da62	10.5	0.9978	0.074
8.8	0.61	0.3	2.8	17	46	0.51	1.0	7b25e0a5	9.3	0.9976	0.088
7.5	0.49	0.2	2.6	8	14	0.9	1.0	83041598	10.5	0.9968	0.332
8.1	0.66	0.22	2.2	9	23	1.2	1.0	7602c674	10.3	0.9968	0.069
6.8	0.67	0.02	1.8	5	11	0.52	1.0	eb74aa66	9.5	0.9962	0.05
4.6	0.52	0.15	2.1	8	65	0.56	1.0	f2969c07	13.1	0.9934	0.054
7.7	0.935	0.43	2.2	22	114	0.73	1.0	5241bb41	9.2	0.997	0.114
8.7	0.29	0.52	1.6	12	37	0.58	1.0	5154e89d	9.5	0.9969	0.113
6.4	0.4	0.23	1.6	5	12	0.56	1.0	d4d91bd4	9.2	0.9958	0.066
5.6	0.31	0.37	1.4	12	96	0.58	1.0	1fbaf440	9.2	0.9954	0.074
8.8	0.66	0.26	1.7	4	23	0.74	1.0	9ea4eeb2	9.2	0.9971	0.074
6.6	0.52	0.04	2.2	8	15	0.63	1.0	84988265	9.4	0.9956	0.069
6.6	0.5	0.04	2.1	6	14	0.64	1.0	47135c7e	9.4	0.9955	0.068
8.6	0.38	0.36	3	30	119	0.56	1.0	ced406c1	9.4	0.997	0.081
7.6	0.51	0.15	2.8	33	73	0.63	1.0	5c3e08c9	10.2	0.9955	0.11
7.7	0.62	0.04	3.8	25	45	0.53	1.0	84113d26	9.5	0.9978	0.084
10.2	0.42	0.57	3.4	4	10	0.63	1.0	68266545	9.6	0.9971	0.07
7.5	0.63	0.12	5.1	50	110	0.77	1.0	5a64643f	9.4	0.9983	0.111
7.8	0.59	0.18	2.3	17	54	0.59	1.0	8170bc22	10	0.9975	0.076
7.3	0.39	0.31	2.4	9	46	0.54	1.0	e7e3c710	9.4	0.9962	0.074
8.8	0.4	0.4	2.2	19	52	0.64	1.0	1a61f952	9.2	0.998	0.079
7.7	0.69	0.49	1.8	20	112	0.71	1.0	0807a6ad	9.3	0.9968	0.115
7.5	0.52	0.16	1.9	12	35	0.62	1.0	48460f15	9.5	0.9968	0.085
7	0.735	0.05	2	13	54	0.57	1.0	4d530076	9.8	0.9966	0.081
7.2	0.725	0.05	4.65	4	11	0.39	1.0	edaf0d42	10.9	0.9962	0.086
7.2	0.725	0.05	4.65	4	11	0.39	1.0	9dce7457	10.9	0.9962	0.086
7.5	0.52	0.11	1.5	11	39	0.58	1.0	cb575369	9.6	0.9968	0.079
6.6	0.705	0.07	1.6	6	15	0.58	1.0	4964b087	10.7	0.9962	0.076
9.3	0.32	0.57	2	27	65	0.79	1.0	f24e4419	10.7	0.9969	0.074
8	0.705	0.05	1.9	8	19	0.95	1.0	ecc7415e	10.5	0.9962	0.074
7.7	0.63	0.08	1.9	15	27	0.54	1.0	86d00466	9.5	0.9967	0.076
7.7	0.67	0.23	2.1	17	96	0.48	1.0	a8b6b57f	9.5	0.9962	0.088
7.7	0.69	0.22	1.9	18	94	0.48	1.0	4dc6eb34	9.5	0.9961	0.084
8.3	0.675	0.26	2.1	11	43	0.53	1.0	c1cb1dbe	9.2	0.9976	0.084
9.7	0.32	0.54	2.5	28	83	0.82	1.0	7338ad0f	9.6	0.9984	0.094
8.8	0.41	0.64	2.2	9	42	0.66	1.0	dcf3134d	10.5	0.9986	0.093
8.8	0.41	0.64	2.2	9	42	0.66	1.0	6501bf42	10.5	0.9986	0.093
6.8	0.785	0	2.4	14	30	0.55	1.0	9f5791c6	10.7	0.9966	0.104
6.7	0.75	0.12	2	12	80	0.52	1.0	191e1ca9	10.1	0.9958	0.086
8.3	0.625	0.2	1.5	27	119	1.12	1.0	49548e38	9.1	0.9972	0.08
6.2	0.45	0.2	1.6	3	15	0.56	1.0	fd767f00	9.2	0.9958	0.069
7.8	0.43	0.7	1.9	22	67	1.28	1.0	ad328c91	9.4	0.9974	0.464
7.4	0.5	0.47	2	21	73	0.57	1.0	39059c38	9.1	0.997	0.086
7.3	0.67	0.26	1.8	16	51	1.14	1.0	7e9e253c	9.4	0.9969	0.401
6.3	0.3	0.48	1.8	18	61	0.78	1.0	f3438a99	10.3	0.9959	0.069
6.9	0.55	0.15	2.2	19	40	0.59	1.0	f8b8999b	10.1	0.9961	0.076
8.6	0.49	0.28	1.9	20	136	1.95	1.0	046cf5ae	9.9	0.9972	0.11
7.7	0.49	0.26	1.9	9	31	0.64	1.0	8c6e2b6a	9.6	0.9966	0.062
9.3	0.39	0.44	2.1	34	125	1.22	1.0	aae3177c	9.5	0.9978	0.107
7	0.62	0.08	1.8	8	24	0.53	1.0	8a4b4711	9	0.9978	0.076
7.9	0.52	0.26	1.9	42	140	0.54	1.0	25205644	9.5	0.9964	0.079
8.6	0.49	0.28	1.9	20	136	1.95	1.0	75a57748	9.9	0.9972	0.11
8.6	0.49	0.29	2	19	133	1.98	1.0	c3914aa9	9.8	0.9972	0.11
7.7	0.49	0.26	1.9	9	31	0.64	1.0	6d250099	9.6	0.9966	0.062
5	1.02	0.04	1.4	41	85	0.48	1.0	86a461fc	10.5	0.9938	0.045
4.7	0.6	0.17	2.3	17	106	0.6	1.0	116eb078	12.9	0.9932	0.058
6.8	0.775	0	3	8	23	0.56	1.0	16bc5a20	10.7	0.9965	0.102
7	0.5	0.25	2	3	22	0.63	1.0	c8743f6b	9.2	0.9963	0.07
7.6	0.9	0.06	2.5	5	10	0.56	1.0	7106fcdd	9.8	0.9967	0.079
8.1	0.545	0.18	1.9	13	35	0.59	1.0	7dcb48f5	9	0.9972	0.08
8.3	0.61	0.3	2.1	11	50	0.61	1.0	62b3da9f	10.2	0.9972	0.084
7.8	0.5	0.3	1.9	8	22	0.56	1.0	ec09d7c8	10.4	0.9959	0.075
8.1	0.545	0.18	1.9	13	35	0.59	1.0	836b8449	9	0.9972	0.08
8.1	0.575	0.22	2.1	12	65	0.51	1.0	1478cba3	9.2	0.9967	0.077
7.2	0.49	0.24	2.2	5	36	0.48	1.0	0fb0a431	9.4	0.996	0.07
8.1	0.575	0.22	2.1	12	65	0.51	1.0	a3cd8be1	9.2	0.9967	0.077
7.8	0.41	0.68	1.7	18	69	1.31	1.0	f1b81bbc	9.3	0.9973	0.467
6.2	0.63	0.31	1.7	15	64	0.79	1.0	0c0f02d8	9.3	0.9969	0.088
8	0.33	0.53	2.5	18	80	0.8	1.0	3800e8dd	9.6	0.9976	0.091
8.1	0.785	0.52	2	37	153	0.69	1.0	a28897d0	9.3	0.9969	0.122
7.8	0.56	0.19	1.8	12	47	0.93	1.0	7913b747	9.5	0.9964	0.104
8.4	0.62	0.09	2.2	11	108	0.66	1.0	8021fa21	9.8	0.9964	0.084
8.4	0.6	0.1	2.2	14	111	0.66	1.0	65fe9997	9.8	0.9964	0.085
10.1	0.31	0.44	2.3	22	46	0.67	1.0	e7265902	9.7	0.9988	0.08
7.8	0.56	0.19	1.8	12	47	0.93	1.0	5506bf9f	9.5	0.9964	0.104
9.4	0.4	0.31	2.2	13	62	0.63	1.0	aebcd766	10.5	0.9966	0.09
8.3	0.54	0.28	1.9	11	40	0.61	1.0	49ee5d8d	10	0.9978	0.077
7.8	0.56	0.12	2	7	28	0.5	1.0	a2cbc95c	9.4	0.997	0.082
8.8	0.55	0.04	2.2	14	56	0.6	1.0	7fb77519	10.9	0.9962	0.119
7	0.69	0.08	1.8	22	89	0.54	1.0	f75c4129	9.2	0.9959	0.097
7.3	1.07	0.09	1.7	10	89	0.57	1.0	a5186a93	9	0.9962	0.178
8.8	0.55	0.04	2.2	14	56	0.6	1.0	c2aae4e5	10.9	0.9962	0.119
7.3	0.695	0	2.5	3	13	0.52	1.0	9225c061	9.2	0.998	0.075
8	0.71	0	2.6	11	34	0.53	1.0	5e2edb07	9.5	0.9976	0.08
7.8	0.5	0.17	1.6	21	102	0.48	1.0	b8b3594e	9.5	0.996	0.082
9	0.62	0.04	1.9	27	90	0.7	1.0	9617da2a	9.4	0.9984	0.146
8.2	1.33	0	1.7	3	12	0.49	1.0	3fe220b6	10.9	0.9964	0.081
8.1	1.33	0	1.8	3	12	0.48	1.0	0396284c	10.9	0.9964	0.082
8	0.59	0.16	1.8	3	16	0.92	1.0	2c439ee5	10.5	0.9962	0.065
6.1	0.38	0.15	1.8	6	19	0.57	1.0	fbd8d4a3	9.4	0.9955	0.072
8	0.745	0.56	2	30	134	0.66	1.0	6386b1a0	9.4	0.9968	0.118
5.6	0.5	0.09	2.3	17	99	0.63	1.0	14e43c2b	13	0.9937	0.049
5.6	0.5	0.09	2.3	17	99	0.63	1.0	f622a969	13	0.9937	0.049
6.6	0.5	0.01	1.5	17	26	0.58	1.0	2d9f0f9a	9.8	0.9952	0.06
7.9	1.04	0.05	2.2	13	29	0.55	1.0	4ccd8739	9.9	0.9959	0.084
8.4	0.745	0.11	1.9	16	63	0.82	1.0	24d20e80	9.6	0.9965	0.09
8.3	0.715	0.15	1.8	10	52	0.77	1.0	63e7b5d4	9.5	0.9968	0.089
7.2	0.415	0.36	2	13	45	0.64	1.0	d111a849	9.2	0.9972	0.081
7.8	0.56	0.19	2.1	15	105	0.54	1.0	8c9548ae	9.5	0.9962	0.081
7.8	0.56	0.19	2	17	108	0.54	1.0	a187f3d3	9.5	0.9962	0.081
8.4	0.745	0.11	1.9	16	63	0.82	1.0	d0509bd3	9.6	0.9965	0.09
8.3	0.715	0.15	1.8	10	52	0.77	1.0	c1a1e578	9.5	0.9968	0.089
5.2	0.34	0	1.8	27	63	0.79	1.0	813a7e02	14	0.9916	0.05
6.3	0.39	0.08	1.7	3	20	0.58	1.0	2b9dbb9d	9.4	0.9954	0.066
5.2	0.34	0	1.8	27	63	0.79	1.0	115f2236	14	0.9916	0.05
8.1	0.67	0.55	1.8	32	141	0.62	1.0	2d6e929e	9.4	0.9968	0.117
5.8	0.68	0.02	1.8	21	94	0.52	1.0	ddfdf834	10	0.9944	0.087
7.6	0.49	0.26	1.6	10	88	0.8	1.0	68be29cc	9.3	0.9968	0.236
6.9	0.49	0.1	2.3	12	30	0.58	1.0	71db5352	10.2	0.9959	0.074
8.2	0.4	0.44	2.8	11	43	0.61	1.0	990dc81b	10.5	0.9975	0.089
7.3	0.33	0.47	2.1	5	11	0.53	1.0	cf2d8e23	10.3	0.9958	0.077
9.2	0.52	1	3.4	32	69	2.0	1.0	d0f13903	9.4	0.9996	0.61
7.5	0.6	0.03	1.8	25	99	0.54	1.0	eb08e436	10.1	0.995	0.095
7.5	0.6	0.03	1.8	25	99	0.54	1.0	0fc31463	10.1	0.995	0.095
7.1	0.43	0.42	5.5	29	129	0.72	1.0	ae6efa44	10.5	0.9973	0.07
7.1	0.43	0.42	5.5	28	128	0.71	1.0	3e609f17	10.5	0.9973	0.071
7.1	0.43	0.42	5.5	29	129	0.72	1.0	abde61f8	10.5	0.9973	0.07
7.1	0.43	0.42	5.5	28	128	0.71	1.0	1bb610ca	10.5	0.9973	0.071
7.1	0.68	0	2.2	12	22	0.5	1.0	e9295f82	9.3	0.9969	0.073
6.8	0.6	0.18	1.9	18	86	0.57	1.0	ed94776c	9.3	0.9968	0.079
7.6	0.95	0.03	2	7	20	0.56	1.0	50f47a82	9.6	0.9959	0.09
7.6	0.68	0.02	1.3	9	20	1.08	1.0	330459e7	9.2	0.9965	0.072
7.8	0.53	0.04	1.7	17	31	0.56	1.0	6af13d58	10	0.9964	0.076
7.4	0.6	0.26	7.3	36	121	0.49	1.0	aef250cb	9.4	0.9982	0.07
7.3	0.59	0.26	7.2	35	121	0.49	1.0	8617d2a7	9.4	0.9981	0.07
7.8	0.63	0.48	1.7	14	96	0.62	1.0	ba25b0a2	9.5	0.9961	0.1
6.8	0.64	0.1	2.1	18	101	0.52	1.0	cf848e7d	10.2	0.9956	0.085
7.3	0.55	0.03	1.6	17	42	0.48	1.0	e622e88d	9	0.9956	0.072
6.8	0.63	0.07	2.1	11	44	0.55	1.0	53fb92f8	10.4	0.9953	0.089
7.5	0.705	0.24	1.8	15	63	1.59	1.0	ab14dcb3	9.5	0.9964	0.36
7.9	0.885	0.03	1.8	4	8	0.33	1.0	1893e8cf	9.1	0.9972	0.058
8	0.42	0.17	2	6	18	0.61	1.0	25262c92	9.2	0.9972	0.073
8	0.42	0.17	2	6	18	0.61	1.0	3d0b5dc4	9.2	0.9972	0.073
7.4	0.62	0.05	1.9	24	42	0.57	1.0	de0f2d0a	11.5	0.9961	0.068
7.3	0.38	0.21	2	7	35	0.47	1.0	606b2e0c	9.5	0.9961	0.08
6.9	0.5	0.04	1.5	19	49	0.78	1.0	4c91ee34	9.5	0.9958	0.085
7.3	0.38	0.21	2	7	35	0.47	1.0	b2b5118c	9.5	0.9961	0.08
7.5	0.52	0.42	2.3	8	38	0.61	1.0	c3250d52	10.5	0.9972	0.087
7	0.805	0	2.5	7	20	0.56	1.0	cf342f20	9.6	0.9969	0.068
8.8	0.61	0.14	2.4	10	42	0.59	1.0	f03e0949	9.5	0.9969	0.067
8.8	0.61	0.14	2.4	10	42	0.59	1.0	adc758ea	9.5	0.9969	0.067
8.9	0.61	0.49	2	23	110	1.02	1.0	9090169c	9.3	0.9972	0.27
7.2	0.73	0.02	2.5	16	42	0.52	1.0	2e711bad	9.3	0.9972	0.076
6.8	0.61	0.2	1.8	11	65	0.58	1.0	83cc60d1	9.3	0.9971	0.077
6.7	0.62	0.21	1.9	8	62	0.58	1.0	f776a80b	9.3	0.997	0.079
8.9	0.31	0.57	2	26	85	0.53	1.0	6e9683c8	9.7	0.9971	0.111
7.4	0.39	0.48	2	14	67	0.55	1.0	280e53bc	9.2	0.9972	0.082
7.7	0.705	0.1	2.6	9	26	0.49	1.0	63b5ab1c	9.7	0.9976	0.084
7.9	0.5	0.33	2	15	143	0.55	1.0	3ff4c555	9.5	0.9968	0.084
7.9	0.49	0.32	1.9	17	144	0.55	1.0	324e3b81	9.5	0.9968	0.082
8.2	0.5	0.35	2.9	21	127	0.62	1.0	398cc019	9.4	0.9976	0.077
6.4	0.37	0.25	1.9	21	49	0.62	1.0	fd3693e4	9.8	0.9974	0.074
6.8	0.63	0.12	3.8	16	126	0.61	1.0	dc75ef74	9.5	0.9969	0.099
7.6	0.55	0.21	2.2	7	28	0.55	1.0	b0d5e7a4	9.7	0.9964	0.071
7.6	0.55	0.21	2.2	7	28	0.55	1.0	6f4344d5	9.7	0.9964	0.071
7.8	0.59	0.33	2	24	120	0.54	1.0	cd63e1d5	9.4	0.9968	0.074
7.3	0.58	0.3	2.4	15	55	0.59	1.0	2c440205	10.2	0.9968	0.074
11.5	0.3	0.6	2	12	27	0.97	1.0	0652fded	10.1	0.9981	0.067
5.4	0.835	0.08	1.2	13	93	0.85	1.0	dc070679	13	0.9924	0.046
6.9	1.09	0.06	2.1	12	31	0.43	1.0	797352b7	11.4	0.9948	0.061
9.6	0.32	0.47	1.4	9	24	0.82	1.0	fa8b9a57	10.3	0.99695	0.056
8.8	0.37	0.48	2.1	39	145	1.03	1.0	a5b71c1d	9.3	0.9975	0.097
6.8	0.5	0.11	1.5	16	49	0.79	1.0	7959fafb	9.5	0.99545	0.075
7	0.42	0.35	1.6	16	39	0.55	1.0	657da824	9.2	0.9961	0.088
7	0.43	0.36	1.6	14	37	0.56	1.0	c856c2e3	9.2	0.99615	0.089
12.8	0.3	0.74	2.6	9	28	0.77	1.0	ffc793c1	10.8	0.9994	0.095
12.8	0.3	0.74	2.6	9	28	0.77	1.0	6358432e	10.8	0.9994	0.095
7.8	0.57	0.31	1.8	26	120	0.53	1.0	b2f74a6d	9.3	0.99625	0.069
7.8	0.44	0.28	2.7	18	95	0.67	1.0	cb605b6b	9.4	0.9966	0.1
11	0.3	0.58	2.1	7	19	0.88	1.0	e9cd7fe5	10.5	0.998	0.054
9.7	0.53	0.6	2	5	19	0.86	1.0	7693acf2	12.4	0.99585	0.039
8	0.725	0.24	2.8	10	62	0.56	1.0	6d1cfd5a	10	0.99685	0.083
11.6	0.44	0.64	2.1	5	15	0.67	1.0	658a89b0	10.2	0.998	0.059
8.2	0.57	0.26	2.2	28	65	0.43	1.0	733e004f	10.1	0.9959	0.06
7.8	0.735	0.08	2.4	10	41	0.71	1.0	e5a5b2eb	9.8	0.9974	0.092
7	0.49	0.49	5.6	26	121	0.76	1.0	1ecb3402	10.5	0.9974	0.06
8.7	0.625	0.16	2	13	49	0.57	1.0	b1984d73	11	0.9962	0.101
8.1	0.725	0.22	2.2	11	41	0.55	1.0	d6418277	9.1	0.9967	0.072
7.5	0.49	0.19	1.9	10	44	0.54	1.0	c510d806	9.7	0.9957	0.076
7.8	0.53	0.33	2.4	24	144	0.6	1.0	88e5fb37	9.5	0.99655	0.08
7.8	0.34	0.37	2	24	58	0.59	1.0	cf2974c3	9.4	0.9964	0.082
7.4	0.53	0.26	2	16	72	0.57	1.0	4c896ece	9.4	0.9957	0.101
6.8	0.61	0.04	1.5	5	10	0.6	1.0	8ebabce8	9.5	0.99525	0.057
8.6	0.645	0.25	2	8	28	0.6	1.0	0b636aa6	10	0.99815	0.083
8.4	0.635	0.36	2	15	55	0.57	1.0	733fd28e	10.4	0.99745	0.089
7.7	0.43	0.25	2.6	29	63	0.58	1.0	addfd8be	10.5	0.99615	0.073
8.9	0.59	0.5	2	27	81	1.61	1.0	ee3db2b6	9.5	0.9964	0.337
9	0.82	0.14	2.6	9	23	0.63	1.0	6322e72a	9.8	0.9984	0.089
7.7	0.43	0.25	2.6	29	63	0.58	1.0	18555d62	10.5	0.99615	0.073
6.9	0.52	0.25	2.6	10	37	0.5	1.0	6ea61f08	11	0.99685	0.081
5.2	0.48	0.04	1.6	19	106	0.62	1.0	1a072e72	12.2	0.9927	0.054
8	0.38	0.06	1.8	12	49	0.52	1.0	cf39425f	9.9	0.99625	0.078
8.5	0.37	0.2	2.8	18	58	0.7	1.0	6ddbd944	9.6	0.998	0.09
6.9	0.52	0.25	2.6	10	37	0.5	1.0	a6ab3ae8	11	0.99685	0.081
8.2	1	0.09	2.3	7	37	0.55	1.0	d03fc472	9	0.99685	0.065
7.2	0.63	0	1.9	14	38	0.58	1.0	19aa11ae	9	0.99675	0.097
7.2	0.63	0	1.9	14	38	0.58	1.0	b7aea1df	9	0.99675	0.097
7.2	0.645	0	1.9	15	39	0.58	1.0	366c8369	9.2	0.99675	0.097
7.2	0.63	0	1.9	14	38	0.58	1.0	211c4ea7	9	0.99675	0.097
8.2	1	0.09	2.3	7	37	0.55	1.0	6fd4b2ba	9	0.99685	0.065
8.9	0.635	0.37	1.7	5	62	1.09	1.0	70891144	9.3	0.9971	0.263
12	0.38	0.56	2.1	6	24	0.71	1.0	4f0bfcbf	10.9	0.99925	0.093
7.7	0.58	0.1	1.8	28	109	0.49	1.0	06cbe735	9.8	0.99565	0.102
15	0.21	0.44	2.2	10	24	0.84	1.0	f3061927	9.2	1.00005	0.075
15	0.21	0.44	2.2	10	24	0.84	1.0	423fce75	9.2	1.00005	0.075
7.3	0.66	0	2	6	23	0.96	1.0	41c07cbc	9.9	0.9983	0.084
7.1	0.68	0.07	1.9	16	51	0.52	1.0	3dfd7872	9.5	0.99685	0.075
8.2	0.6	0.17	2.3	11	73	0.45	1.0	0cb090d9	9.3	0.9963	0.072
7.7	0.53	0.06	1.7	9	39	0.48	1.0	a77fb203	9.8	0.99615	0.074
7.3	0.66	0	2	6	23	0.96	1.0	36f3a34a	9.9	0.9983	0.084
10.8	0.32	0.44	1.6	16	37	0.78	1.0	05ef76ae	10	0.9985	0.063
7.1	0.6	0	1.8	16	34	0.7	1.0	d684865e	9.9	0.9972	0.074
11.1	0.35	0.48	3.1	5	21	0.53	1.0	1daa3c4d	10.5	0.9986	0.09
7.7	0.775	0.42	1.9	8	86	0.59	1.0	136360d6	9.5	0.9959	0.092
7.1	0.6	0	1.8	16	34	0.7	1.0	3bb601b6	9.9	0.9972	0.074
8	0.57	0.23	3.2	17	119	0.57	1.0	a7e57106	9.3	0.99675	0.073
9.4	0.34	0.37	2.2	5	13	0.62	1.0	b2e9dde2	9.2	0.998	0.075
6.6	0.695	0	2.1	12	56	0.67	1.0	32f26007	9.2	0.9968	0.075
7.7	0.41	0.76	1.8	8	45	1.26	1.0	06c49483	9.4	0.9968	0.611
10	0.31	0.47	2.6	14	33	0.8	1.0	dd142abd	10.5	0.99965	0.085
7.9	0.33	0.23	1.7	18	45	0.65	1.0	34b0ad89	9.3	0.99625	0.077
7	0.975	0.04	2	12	67	0.6	1.0	c01643db	9.4	0.99565	0.087
8	0.52	0.03	1.7	10	35	0.57	1.0	8ea95e93	10	0.99575	0.07
7.9	0.37	0.23	1.8	23	49	0.67	1.0	78453f27	9.3	0.9963	0.077
12.5	0.56	0.49	2.4	5	27	0.87	1.0	91a64eb5	10.9	0.9999	0.064
11.8	0.26	0.52	1.8	6	10	0.72	1.0	cce64a30	10.2	0.9968	0.071
8.1	0.87	0	3.3	26	61	0.72	1.0	08ec5cc1	9.8	1.00025	0.096
7.9	0.35	0.46	3.6	15	37	0.86	1.0	fe790447	12.8	0.9973	0.078
6.9	0.54	0.04	3	7	27	0.91	1.0	c32b12fe	9.4	0.9987	0.077
11.5	0.18	0.51	4	4	23	0.97	1.0	a4aefebd	10.1	0.9996	0.104
7.9	0.545	0.06	4	27	61	0.67	1.0	3af98fc9	10.7	0.9965	0.087
11.5	0.18	0.51	4	4	23	0.97	1.0	5a503ab0	10.1	0.9996	0.104
10.9	0.37	0.58	4	17	65	0.78	1.0	026480e6	10.1	0.99935	0.071
8.4	0.715	0.2	2.4	10	38	0.64	1.0	74d20d93	9.4	0.99735	0.076
7.5	0.65	0.18	7	27	94	0.77	1.0	2e0d5fcc	9.4	0.99915	0.088
7.9	0.545	0.06	4	27	61	0.67	1.0	ef82f098	10.7	0.9965	0.087
6.9	0.54	0.04	3	7	27	0.91	1.0	11e81aa8	9.4	0.9987	0.077
11.5	0.18	0.51	4	4	23	0.97	1.0	f7d40867	10.1	0.9996	0.104
10.3	0.32	0.45	6.4	5	13	0.82	1.0	4d7ca536	12.6	0.9976	0.073
8.9	0.4	0.32	5.6	10	47	0.77	1.0	291ac361	10.5	0.9991	0.087
11.4	0.26	0.44	3.6	6	19	0.82	1.0	c86c8000	9.3	0.9986	0.071
7.7	0.27	0.68	3.5	5	10	1.08	1.0	ba29f56f	9.9	0.9972	0.358
7.6	0.52	0.12	3	12	53	0.57	1.0	277f827b	9.1	0.9971	0.067
8.9	0.4	0.32	5.6	10	47	0.77	1.0	1b61dce5	10.5	0.9991	0.087
9.9	0.59	0.07	3.4	32	71	0.71	1.0	d1cbb0a5	9.8	1.00015	0.102
9.9	0.59	0.07	3.4	32	71	0.71	1.0	89f85c1c	9.8	1.00015	0.102
12	0.45	0.55	2	25	49	0.76	1.0	bbf9afdc	10.3	0.9997	0.073
7.5	0.4	0.12	3	29	53	0.7	1.0	fad4eabc	10.3	0.9967	0.092
8.7	0.52	0.09	2.5	20	49	0.86	1.0	4276bb07	10.6	0.9976	0.091
11.6	0.42	0.53	3.3	33	98	0.95	1.0	afed2525	9.2	1.001	0.105
8.7	0.52	0.09	2.5	20	49	0.86	1.0	8ef80153	10.6	0.9976	0.091
11	0.2	0.48	2	6	18	0.71	1.0	3050aaf5	10.5	0.9979	0.343
10.4	0.55	0.23	2.7	18	48	0.64	1.0	c976b8f2	10.3	0.9994	0.091
6.9	0.36	0.25	2.4	5	16	0.6	1.0	858afc58	10.1	0.9964	0.098
13.3	0.34	0.52	3.2	17	53	0.81	1.0	02ed1ddd	9.5	1.0014	0.094
10.8	0.5	0.46	2.5	5	27	0.64	1.0	883322ab	9.5	1.0001	0.073
10.6	0.83	0.37	2.6	26	70	0.52	1.0	23a0ae84	9.9	0.9981	0.086
7.1	0.63	0.06	2	8	29	0.73	1.0	632fd52c	9.6	0.99855	0.083
7.2	0.65	0.02	2.3	5	31	0.8	1.0	e189740b	9.7	0.9993	0.094
6.9	0.67	0.06	2.1	8	33	0.71	1.0	be4e296e	9.6	0.99845	0.08
7.5	0.53	0.06	2.6	20	44	0.59	1.0	47629520	10.7	0.9965	0.086
11.1	0.18	0.48	1.5	7	15	0.64	1.0	2d924a47	10.1	0.9973	0.068
8.3	0.705	0.12	2.6	12	28	0.72	1.0	35519996	10	0.9994	0.092
7.4	0.67	0.12	1.6	5	21	0.54	1.0	b1bf034f	9.5	0.996	0.186
8.4	0.65	0.6	2.1	12	90	0.52	1.0	fc7aa7ca	9.2	0.9973	0.112
10.3	0.53	0.48	2.5	6	25	0.59	1.0	8daa6e15	9.3	0.9998	0.063
7.6	0.62	0.32	2.2	7	54	0.52	1.0	34e2d8c5	9.4	0.9966	0.082
10.3	0.41	0.42	2.4	6	14	0.62	1.0	95950fb2	9.5	0.9994	0.213
10.3	0.43	0.44	2.4	5	12	0.63	1.0	29330ec1	9.5	0.9994	0.214
7.4	0.29	0.38	1.7	9	30	0.53	1.0	ca0119a3	9.5	0.9968	0.062
10.3	0.53	0.48	2.5	6	25	0.59	1.0	692ecef9	9.3	0.9998	0.063
7.9	0.53	0.24	2	15	105	0.54	1.0	f5bfcf31	9.4	0.996	0.072
9	0.46	0.31	2.8	19	98	0.63	1.0	fd0f08c1	9.5	0.99815	0.093
8.6	0.47	0.3	3	30	135	0.53	1.0	e7ead6a0	9.4	0.9976	0.076
7.4	0.36	0.29	2.6	26	72	0.68	1.0	4133bf0c	11	0.99645	0.087
7.1	0.35	0.29	2.5	20	53	0.65	1.0	4f5cc707	11	0.9962	0.096
9.6	0.56	0.23	3.4	37	92	0.65	1.0	a6c412ae	10.1	0.9996	0.102
9.6	0.77	0.12	2.9	30	74	0.64	1.0	8f2cfbb6	10.4	0.99865	0.082
9.8	0.66	0.39	3.2	21	59	0.71	1.0	fdb1da01	11.5	0.9989	0.083
9.6	0.77	0.12	2.9	30	74	0.64	1.0	65af3ceb	10.4	0.99865	0.082
9.8	0.66	0.39	3.2	21	59	0.71	1.0	c612030e	11.5	0.9989	0.083
9.3	0.61	0.26	3.4	25	87	0.62	1.0	f4d9e389	9.7	0.99975	0.09
7.8	0.62	0.05	2.3	6	18	0.63	1.0	229d2578	9.3	0.99735	0.079
10.3	0.59	0.42	2.8	35	73	0.7	1.0	185bc90c	9.5	0.999	0.09
10	0.49	0.2	11	13	50	0.69	1.0	de66a7c3	9.2	1.0015	0.071
10	0.49	0.2	11	13	50	0.69	1.0	7c8142b1	9.2	1.0015	0.071
11.6	0.53	0.66	3.65	6	14	0.74	1.0	1fe713c6	11.5	0.9978	0.121
10.3	0.44	0.5	4.5	5	13	0.83	1.0	26806d15	11.5	0.998	0.107
13.4	0.27	0.62	2.6	6	21	0.67	1.0	1abc698c	9.7	1.0002	0.082
10.7	0.46	0.39	2	7	15	0.62	1.0	60660857	9.5	0.9981	0.061
10.2	0.36	0.64	2.9	10	41	0.66	1.0	0562571f	12.5	0.998	0.122
10.2	0.36	0.64	2.9	10	41	0.66	1.0	49917a8e	12.5	0.998	0.122
8	0.58	0.28	3.2	21	114	0.54	1.0	211c7cd3	9.4	0.9973	0.066
8.4	0.56	0.08	2.1	16	44	0.52	1.0	c3adf6c8	11	0.9958	0.105
7.9	0.65	0.01	2.5	17	38	0.74	1.0	c2de7efe	11.7	0.9963	0.078
11.9	0.695	0.53	3.4	7	21	0.84	1.0	f1f0207b	12.2	0.9992	0.128
8.9	0.43	0.45	1.9	6	16	0.7	1.0	86fa6a72	12.5	0.9948	0.052
7.8	0.43	0.32	2.8	29	58	0.64	1.0	6fbac669	10.3	0.9974	0.08
12.4	0.49	0.58	3	28	99	1	1.0	171fac9c	11.5	1.0008	0.103
12.5	0.28	0.54	2.3	12	29	1.36	1.0	03fa8e44	9.8	0.9997	0.082
12.2	0.34	0.5	2.4	10	21	1.18	1.0	a9dff482	9.2	1	0.066
10.6	0.42	0.48	2.7	5	18	0.87	1.0	0ec524d3	11.3	0.9972	0.065
10.9	0.39	0.47	1.8	6	14	0.75	1.0	d412f1f6	9.8	0.9982	0.118
10.9	0.39	0.47	1.8	6	14	0.75	1.0	47f8eee6	9.8	0.9982	0.118
11.9	0.57	0.5	2.6	6	32	0.78	1.0	ebb4420a	10.7	1.0006	0.082
7	0.685	0	1.9	40	63	0.81	1.0	3e6a9714	9.9	0.9979	0.067
6.6	0.815	0.02	2.7	17	34	0.89	1.0	3bb2f6f7	12.3	0.9955	0.072
13.8	0.49	0.67	3	6	15	0.93	1.0	2b04d98f	12	0.9986	0.093
9.6	0.56	0.31	2.8	15	46	0.92	1.0	157075fb	10	0.9979	0.089
9.1	0.785	0	2.6	11	28	0.86	1.0	f9a31802	9.4	0.9994	0.093
10.7	0.67	0.22	2.7	17	34	0.98	1.0	82f4e803	9.9	1.0004	0.107
9.1	0.795	0	2.6	11	26	0.83	1.0	e01b7792	9.4	0.9994	0.096
7.7	0.665	0	2.4	8	19	0.73	1.0	83d7b87d	9.3	0.9974	0.09
13.5	0.53	0.79	4.8	23	77	0.77	1.0	6393ee59	13	1.0018	0.12
6.1	0.21	0.4	1.4	40.5	165	0.59	1.0	6523eb04	11.9	0.9912	0.066
6.7	0.75	0.01	2.4	17	32	0.61	1.0	c8c8e55c	12.8	0.9955	0.078
11.5	0.41	0.52	3	29	55	0.88	1.0	07774dc5	11	1.0001	0.08
10.5	0.42	0.66	2.95	12	29	0.75	1.0	167f47a4	11.7	0.997	0.116
11.9	0.43	0.66	3.1	10	23	0.85	1.0	e452a2fd	10.4	1	0.109
12.6	0.38	0.66	2.6	10	41	0.68	1.0	fef8c6ca	9.8	1.001	0.088
8.2	0.7	0.23	2	14	81	0.7	1.0	14a1e4e3	9.4	0.9973	0.099
8.6	0.45	0.31	2.6	21	50	0.91	1.0	12b88e78	9.9	0.9982	0.086
11.9	0.58	0.66	2.5	6	37	0.56	1.0	a9e3486b	10	0.9992	0.072
12.5	0.46	0.63	2	6	15	0.87	1.0	ca8f4833	10.2	0.9988	0.071
12.8	0.615	0.66	5.8	7	42	0.73	1.0	367fcada	10	1.0022	0.083
10	0.42	0.5	3.4	7	21	0.93	1.0	8213a3d2	11.8	0.9979	0.107
12.8	0.615	0.66	5.8	7	42	0.73	1.0	f23f8a86	10	1.0022	0.083
10.4	0.575	0.61	2.6	11	24	0.69	1.0	84c8381b	9	1	0.076
10.3	0.34	0.52	2.8	15	75	0.64	1.0	c5a08b52	9.4	0.9998	0.159
9.4	0.27	0.53	2.4	6	18	1.13	1.0	0cf8795f	12	0.9962	0.074
6.9	0.765	0.02	2.3	35	63	0.78	1.0	81e9bfff	9.9	0.9975	0.063
7.9	0.24	0.4	1.6	11	25	0.87	1.0	503cd08d	8.7	0.9967	0.056
9.1	0.28	0.48	1.8	26	46	1.04	1.0	ae70cbec	10.6	0.9967	0.067
7.4	0.55	0.22	2.2	12	72	0.63	1.0	ecd37d06	9.2	0.9959	0.106
14	0.41	0.63	3.8	6	47	0.81	1.0	3c246d47	10.8	1.0014	0.089
11.5	0.54	0.71	4.4	6	15	0.83	1.0	61447a15	11.8	0.9984	0.124
11.5	0.45	0.5	3	19	47	1.11	1.0	2d2ad6e0	11	1.0003	0.078
9.4	0.27	0.53	2.4	6	18	1.13	1.0	71af71bb	12	0.9962	0.074
11.4	0.625	0.66	6.2	6	24	0.99	1.0	71c4cbaa	13.3	0.9988	0.088
8.3	0.42	0.38	2.5	24	60	0.7	1.0	8a160418	10.8	0.9979	0.094
8.3	0.26	0.42	2	11	27	0.8	1.0	3a2dad30	9.4	0.9974	0.08
13.7	0.415	0.68	2.9	17	43	0.8	1.0	b270ff29	10	1.0014	0.085
8.3	0.26	0.42	2	11	27	0.8	1.0	cc288948	9.4	0.9974	0.08
8.3	0.26	0.42	2	11	27	0.8	1.0	7a634491	9.4	0.9974	0.08
7.7	0.51	0.28	2.1	23	54	0.74	1.0	1efbffff	9.2	0.998	0.087
7.4	0.63	0.07	2.4	11	37	0.76	1.0	b16230d3	9.7	0.9979	0.09
7.8	0.54	0.26	2	23	48	0.74	1.0	b1601660	9.2	0.9981	0.088
8.3	0.66	0.15	1.9	17	42	0.54	1.0	bc2a6b7f	9.6	0.9972	0.079
7.8	0.46	0.26	1.9	23	53	0.74	1.0	899fb333	9.2	0.9981	0.088
9.6	0.38	0.31	2.5	16	49	0.7	1.0	752aea5f	10	0.9982	0.096
5.6	0.85	0.05	1.4	12	88	0.82	1.0	59b24c82	12.9	0.9924	0.045
13.7	0.415	0.68	2.9	17	43	0.8	1.0	93875fd2	10	1.0014	0.085
9.5	0.37	0.52	2	6	26	0.51	1.0	77dcc9a5	9.5	0.998	0.082
8.4	0.665	0.61	2	13	95	0.54	1.0	409077b4	9.1	0.997	0.112
12.7	0.6	0.65	2.3	6	25	0.57	1.0	335a7ff4	9.9	0.9997	0.063
12	0.37	0.76	4.2	7	38	0.6	1.0	6edbd54b	13	1.0004	0.066
6.6	0.735	0.02	7.9	68	124	0.53	1.0	661daa9a	9.9	0.9994	0.122
11.5	0.59	0.59	2.6	13	49	0.65	1.0	bc7cc07a	11	0.9988	0.087
11.5	0.59	0.59	2.6	13	49	0.65	1.0	aee0c8df	11	0.9988	0.087
8.7	0.765	0.22	2.3	9	42	0.55	1.0	7212ef72	9.4	0.9963	0.064
6.6	0.735	0.02	7.9	68	124	0.53	1.0	e24ee8b5	9.9	0.9994	0.122
7.7	0.26	0.3	1.7	20	38	0.47	1.0	464431fc	10.8	0.9949	0.059
12.2	0.48	0.54	2.6	19	64	0.61	1.0	bda5c8dd	10.5	1	0.085
11.4	0.6	0.49	2.7	10	41	0.63	1.0	4af17463	10.5	0.9994	0.085
7.7	0.69	0.05	2.7	15	27	0.61	1.0	8b1b6ba1	9.1	0.9974	0.075
8.7	0.31	0.46	1.4	11	25	0.76	1.0	b8b32fee	10.1	0.9966	0.059
9.8	0.44	0.47	2.5	9	28	0.65	1.0	4ef83ab8	10.8	0.9981	0.063
12	0.39	0.66	3	12	30	0.63	1.0	a0812d83	10.8	0.9996	0.093
10.4	0.34	0.58	3.7	6	16	0.7	1.0	8bb33ec1	11.3	0.997	0.174
12.5	0.46	0.49	4.5	26	49	0.57	1.0	4ecffc30	9.6	0.9981	0.07
9	0.43	0.34	2.5	26	86	0.62	1.0	150c083a	9.5	0.9987	0.08
9.1	0.45	0.35	2.4	23	78	0.62	1.0	9e26fe4f	9.5	0.9987	0.08
7.1	0.735	0.16	1.9	15	77	0.64	1.0	4f5187c8	9.3	0.9966	0.1
9.9	0.4	0.53	6.7	6	19	0.82	1.0	88612c64	11.7	0.9986	0.097
8.8	0.52	0.34	2.7	24	122	0.61	1.0	bf42459b	9.5	0.9982	0.087
8.6	0.725	0.24	6.6	31	134	1.07	1.0	1b1b41b9	9.3	1.0014	0.117
10.6	0.48	0.64	2.2	6	20	0.66	1.0	0f2fae44	11.7	0.997	0.111
7	0.58	0.12	1.9	34	124	0.48	1.0	b31a8148	10.5	0.9956	0.091
11.9	0.38	0.51	2	7	20	0.76	1.0	eeeb3787	10.4	0.9996	0.121
6.8	0.77	0	1.8	34	52	0.68	1.0	91f3d8cb	9.9	0.9976	0.066
9.5	0.56	0.33	2.4	35	67	0.73	1.0	0616547a	11.8	0.9972	0.089
6.6	0.84	0.03	2.3	32	48	0.56	1.0	170dd6e5	12.3	0.9952	0.059
7.7	0.96	0.2	2	15	60	0.44	1.0	f7bd4e22	10.9	0.9955	0.047
10.5	0.24	0.47	2.1	6	24	0.9	1.0	a94373f8	11	0.9978	0.066
7.7	0.96	0.2	2	15	60	0.44	1.0	3b1ed54f	10.9	0.9955	0.047
6.6	0.84	0.03	2.3	32	48	0.56	1.0	f1ca7569	12.3	0.9952	0.059
6.4	0.67	0.08	2.1	19	48	0.49	1.0	62a0f983	11.4	0.9949	0.045
9.5	0.78	0.22	1.9	6	32	0.56	1.0	672b841f	10.6	0.9988	0.077
9.1	0.52	0.33	1.3	9	30	0.6	1.0	24226d9e	9.3	0.9978	0.07
12.8	0.84	0.63	2.4	13	35	0.6	1.0	7122037a	10.4	0.9997	0.088
10.5	0.24	0.47	2.1	6	24	0.9	1.0	45cdb5e5	11	0.9978	0.066
7.8	0.55	0.35	2.2	21	66	0.56	1.0	b8631dc5	9.2	0.9974	0.074
11.9	0.37	0.69	2.3	12	24	0.65	1.0	ee2b022c	12.8	0.9958	0.078
12.3	0.39	0.63	2.3	6	18	0.49	1.0	31eed1bf	9.5	1.0004	0.091
10.4	0.41	0.55	3.2	22	54	0.89	1.0	931ad255	9.9	0.9996	0.076
12.3	0.39	0.63	2.3	6	18	0.49	1.0	2e6180ba	9.5	1.0004	0.091
8	0.67	0.3	2	38	62	0.56	1.0	771effee	10.2	0.9958	0.06
11.1	0.45	0.73	3.2	6	22	0.66	1.0	e71da778	11.2	0.9986	0.066
10.4	0.41	0.55	3.2	22	54	0.89	1.0	605302a3	9.9	0.9996	0.076
7	0.62	0.18	1.5	7	50	0.6	1.0	45344443	9.3	0.9951	0.062
12.6	0.31	0.72	2.2	6	29	0.82	1.0	5759b74a	9.8	0.9987	0.072
11.9	0.4	0.65	2.15	7	27	0.68	1.0	5b52cd82	11.3	0.9988	0.068
15.6	0.685	0.76	3.7	6	43	0.68	1.0	a951b2d9	11.2	1.0032	0.1
10	0.44	0.49	2.7	11	19	0.63	1.0	b618289c	11.6	0.9963	0.077
5.3	0.57	0.01	1.7	5	27	0.84	1.0	5ad991b6	12.5	0.9934	0.054
9.5	0.735	0.1	2.1	6	31	0.56	1.0	eb583299	10.1	0.9986	0.079
12.5	0.38	0.6	2.6	31	72	0.73	1.0	f805c6a8	10.5	0.9996	0.081
9.3	0.48	0.29	2.1	6	16	0.72	1.0	9c6e164d	11.2	0.9968	0.127
8.6	0.53	0.22	2	7	27	0.56	1.0	06aa1629	10.2	0.9967	0.1
11.9	0.39	0.69	2.8	17	35	0.61	1.0	66aeeb84	10.8	0.9994	0.095
11.9	0.39	0.69	2.8	17	35	0.61	1.0	a7fe597e	10.8	0.9994	0.095
8.4	0.37	0.53	1.8	9	26	1.06	1.0	2fbfe6da	9.1	0.9979	0.413
6.8	0.56	0.03	1.7	18	35	0.63	1.0	b1eea355	10	0.9968	0.084
10.4	0.33	0.63	2.8	5	22	0.74	1.0	83a961c2	11.2	0.9998	0.084
7	0.23	0.4	1.6	21	67	0.63	1.0	d0a378e6	11.1	0.9952	0.063
11.3	0.62	0.67	5.2	6	19	0.69	1.0	2506d700	13.4	0.9988	0.086
8.9	0.59	0.39	2.3	5	22	0.58	1.0	be8b1c1e	10.3	0.9986	0.095
9.2	0.63	0.21	2.7	29	65	0.58	1.0	51eb83ec	9.6	0.9988	0.097
10.4	0.33	0.63	2.8	5	22	0.74	1.0	5abbb8dd	11.2	0.9998	0.084
11.6	0.58	0.66	2.2	10	47	0.57	1.0	7168f029	9	1.0008	0.074
9.2	0.43	0.52	2.3	14	23	0.61	1.0	0b3d8f93	11.3	0.9976	0.083
8.3	0.615	0.22	2.6	6	19	0.61	1.0	26d13f07	9.3	0.9982	0.087
11	0.26	0.68	2.55	10	25	0.61	1.0	cca61979	11.8	0.997	0.085
8.1	0.66	0.7	2.2	25	129	0.53	1.0	cfc8a815	9	0.9972	0.098
11.5	0.315	0.54	2.1	5	15	0.7	1.0	18dbd07a	9.2	0.9987	0.084
10	0.29	0.4	2.9	10	26	0.91	1.0	e720e76d	9.7	1.0006	0.098
10.3	0.5	0.42	2	21	51	0.72	1.0	f61fdb47	11.5	0.9982	0.069
8.8	0.46	0.45	2.6	7	18	0.79	1.0	ad68f1af	14	0.9947	0.065
11.4	0.36	0.69	2.1	6	21	0.62	1.0	b26f4d1f	9.2	1	0.09
8.7	0.82	0.02	1.2	36	48	0.58	1.0	ddd9c388	9.8	0.9952	0.07
13	0.32	0.65	2.6	15	47	0.61	1.0	e4535883	10.6	0.9996	0.093
9.6	0.54	0.42	2.4	25	52	0.71	1.0	b45756ba	11.4	0.997	0.081
12.5	0.37	0.55	2.6	25	68	0.82	1.0	c25521fa	10.4	0.9995	0.083
9.9	0.35	0.55	2.1	5	14	0.79	1.0	9ede657f	10.6	0.9971	0.062
10.5	0.28	0.51	1.7	10	24	0.89	1.0	17f79dc9	9.4	0.9982	0.08
9.6	0.68	0.24	2.2	5	28	0.6	1.0	3815ad94	10.2	0.9988	0.087
9.3	0.27	0.41	2	6	16	0.7	1.0	2b0fb0cb	9.7	0.998	0.091
10.4	0.24	0.49	1.8	6	20	1.06	1.0	d0e7b54c	11	0.9977	0.075
9.6	0.68	0.24	2.2	5	28	0.6	1.0	8bf20760	10.2	0.9988	0.087
9.4	0.685	0.11	2.7	6	31	0.7	1.0	9740b70a	10.1	0.9984	0.077
10.6	0.28	0.39	15.5	6	23	0.66	1.0	e6565f0a	9.2	1.0026	0.069
9.4	0.3	0.56	2.8	6	17	0.92	1.0	2c8bf8e1	11.7	0.9964	0.08
10.6	0.36	0.59	2.2	6	18	1.05	1.0	0f111839	9.4	0.9986	0.152
10.6	0.36	0.6	2.2	7	18	1.06	1.0	ca1bec13	9.4	0.9986	0.152
10.6	0.44	0.68	4.1	6	24	0.66	1.0	fb1de352	13.4	0.997	0.114
10.2	0.67	0.39	1.9	6	17	0.47	1.0	1fd6413b	10	0.9976	0.054
10.2	0.67	0.39	1.9	6	17	0.47	1.0	b25a547e	10	0.9976	0.054
10.2	0.645	0.36	1.8	5	14	0.42	1.0	55d1d3e8	10	0.9982	0.053
11.6	0.32	0.55	2.8	35	67	0.92	1.0	9e5a53a6	10.8	1.0002	0.081
9.3	0.39	0.4	2.6	10	26	0.75	1.0	4b74ab80	10.2	0.9984	0.073
9.3	0.775	0.27	2.8	24	56	0.67	1.0	ebcb5b3d	10.6	0.9984	0.078
9.2	0.41	0.5	2.5	12	25	0.79	1.0	8a61202c	13.3	0.9952	0.055
8.9	0.4	0.51	2.6	13	27	0.9	1.0	caa4ee1b	13.4	0.995	0.052
8.7	0.69	0.31	3	23	81	0.74	1.0	a6bf5a14	11.6	1.0002	0.086
6.5	0.39	0.23	8.3	28	91	0.55	1.0	2d0a9755	12.1	0.9952	0.051
10.7	0.35	0.53	2.6	5	16	0.65	1.0	7846c672	11	0.9972	0.07
7.8	0.52	0.25	1.9	14	38	0.65	1.0	e0b223c6	9	0.9984	0.081
7.2	0.34	0.32	2.5	43	113	0.79	1.0	326c2709	11.1	0.9966	0.09
10.7	0.35	0.53	2.6	5	16	0.65	1.0	ed284526	11	0.9972	0.07
8.7	0.69	0.31	3	23	81	0.74	1.0	9b4b1649	11.6	1.0002	0.086
7.8	0.52	0.25	1.9	14	38	0.65	1.0	79a0d955	9	0.9984	0.081
10.4	0.44	0.73	6.55	38	76	0.85	1.0	ac5f8268	12	0.999	0.074
10.4	0.44	0.73	6.55	38	76	0.85	1.0	4b9c2022	12	0.999	0.074
10.5	0.26	0.47	1.9	6	24	1.04	1.0	93dc1f92	10.9	0.9976	0.078
10.5	0.24	0.42	1.8	6	22	1.05	1.0	52b6ff5e	10.8	0.9976	0.077
10.2	0.49	0.63	2.9	10	26	0.78	1.0	dc50c9e9	12.5	0.9968	0.072
10.4	0.24	0.46	1.8	6	21	1.02	1.0	bb2f576e	10.8	0.9976	0.075
11.2	0.67	0.55	2.3	6	13	0.71	1.0	fa703fe9	9.5	1	0.084
10	0.59	0.31	2.2	26	62	0.63	1.0	5044801e	10.2	0.9994	0.09
13.3	0.29	0.75	2.8	23	43	0.68	1.0	db93a029	11.4	0.9986	0.084
12.4	0.42	0.49	4.6	19	43	0.61	1.0	3e6cfe99	9.5	0.9978	0.073
10	0.59	0.31	2.2	26	62	0.63	1.0	b647c522	10.2	0.9994	0.09
10.7	0.4	0.48	2.1	15	49	0.81	1.0	3574d64a	9.7	0.998	0.125
10.5	0.51	0.64	2.4	6	15	0.66	1.0	70c56ceb	11.8	0.9973	0.107
10.5	0.51	0.64	2.4	6	15	0.66	1.0	ade635a2	11.8	0.9973	0.107
8.5	0.655	0.49	6.1	34	151	1.14	1.0	1d190a36	9.3	1.001	0.122
12.5	0.6	0.49	4.3	5	14	0.74	1.0	7fb935e4	11.9	1.001	0.1
10.4	0.61	0.49	2.1	5	16	0.63	1.0	15056cab	8.4	0.9994	0.2
10.9	0.21	0.49	2.8	11	32	0.68	1.0	fb56757f	11.7	0.9972	0.088
7.3	0.365	0.49	2.5	39	106	0.78	1.0	c294cae2	11	0.9966	0.088
9.8	0.25	0.49	2.7	15	33	0.9	1.0	dc677e03	10	0.9982	0.088
7.6	0.41	0.49	2	16	43	0.64	1.0	bdde662c	9.1	0.998	0.088
8.2	0.39	0.49	2.3	47	133	0.99	1.0	312441c4	9.8	0.9979	0.099
9.3	0.4	0.49	2.5	38	142	0.55	1.0	e7907f5b	9.4	0.9978	0.085
9.2	0.43	0.49	2.4	23	116	0.64	1.0	e3fe901e	9.5	0.9976	0.086
10.4	0.64	0.24	2.8	29	53	0.67	1.0	4089c23e	9.9	0.9998	0.105
7.3	0.365	0.49	2.5	39	106	0.78	1.0	1b215664	11	0.9966	0.088
7	0.38	0.49	2.5	33	85	0.77	1.0	1069f406	11.4	0.9962	0.097
8.2	0.42	0.49	2.6	32	55	0.75	1.0	3c481c7b	8.7	0.9988	0.084
9.9	0.63	0.24	2.4	6	33	0.57	1.0	8db0ff4c	9.4	0.9974	0.077
9.1	0.22	0.24	2.1	1	28	0.87	1.0	660d91a8	10.3	0.999	0.078
11.9	0.38	0.49	2.7	12	42	0.61	1.0	eee13e7a	10.3	1.0004	0.098
11.9	0.38	0.49	2.7	12	42	0.61	1.0	cf99f7c2	10.3	1.0004	0.098
10.3	0.27	0.24	2.1	15	33	0.66	1.0	557555e2	12.8	0.9956	0.072
10	0.48	0.24	2.7	13	32	0.56	1.0	da9039eb	10	1	0.102
9.1	0.22	0.24	2.1	1	28	0.87	1.0	a845591c	10.3	0.999	0.078
9.9	0.63	0.24	2.4	6	33	0.57	1.0	de172edf	9.4	0.9974	0.077
8.1	0.825	0.24	2.1	5	13	0.77	1.0	89f6d95b	10.7	0.9972	0.084
12.9	0.35	0.49	5.8	5	35	0.66	1.0	eb8a58c7	12	1.0014	0.066
11.2	0.5	0.74	5.15	5	17	0.62	1.0	72a4483f	11.2	0.9996	0.1
9.2	0.59	0.24	3.3	20	47	0.67	1.0	f02a9463	9.6	0.9988	0.101
9.5	0.46	0.49	6.3	5	17	0.73	1.0	0af0ee48	11	0.9988	0.064
9.3	0.715	0.24	2.1	5	20	0.59	1.0	5f69a59a	9.9	0.9966	0.07
11.2	0.66	0.24	2.5	16	53	0.72	1.0	62845592	11	0.9993	0.085
14.3	0.31	0.74	1.8	6	15	0.79	1.0	ec695470	8.4	1.0008	0.075
9.1	0.47	0.49	2.6	38	106	0.59	1.0	8516a84b	9.1	0.9982	0.094
7.5	0.55	0.24	2	10	28	0.78	1.0	730169fc	9.5	0.9983	0.078
10.6	0.31	0.49	2.5	6	21	0.86	1.0	b2d46101	10.7	0.9987	0.067
12.4	0.35	0.49	2.6	27	69	0.75	1.0	f2aec18f	10.4	0.9994	0.079
9	0.53	0.49	1.9	6	25	0.61	1.0	8ef394b3	9.4	0.9975	0.171
6.8	0.51	0.01	2.1	9	25	0.56	1.0	d7bf52cc	9.5	0.9958	0.074
9.4	0.43	0.24	2.8	14	45	0.73	1.0	ff93decc	10	0.998	0.092
9.5	0.46	0.24	2.7	14	44	0.74	1.0	b47c2df7	10	0.998	0.092
5	1.04	0.24	1.6	32	96	0.62	1.0	b08da6a0	11.5	0.9934	0.05
15.5	0.645	0.49	4.2	10	23	0.74	1.0	786a5402	11.1	1.00315	0.095
15.5	0.645	0.49	4.2	10	23	0.74	1.0	29ae5b98	11.1	1.00315	0.095
10.9	0.53	0.49	4.6	10	17	0.56	1.0	418a72c9	11.7	1.0002	0.118
15.6	0.645	0.49	4.2	10	23	0.74	1.0	4937b662	11.1	1.00315	0.095
10.9	0.53	0.49	4.6	10	17	0.56	1.0	f36dffc8	11.7	1.0002	0.118
13	0.47	0.49	4.3	6	47	0.68	1.0	e3c78e6c	12.7	1.0021	0.085
12.7	0.6	0.49	2.8	5	19	0.57	1.0	7f4bd593	11.4	0.9994	0.075
9	0.44	0.49	2.4	26	121	0.58	1.0	30aeae83	9.2	0.9978	0.078
9	0.54	0.49	2.9	41	110	0.61	1.0	8c4d8b81	9.2	0.9982	0.094
7.6	0.29	0.49	2.7	25	60	0.61	1.0	6e392692	10.1	0.9971	0.092
13	0.47	0.49	4.3	6	47	0.68	1.0	469fec1d	12.7	1.0021	0.085
12.7	0.6	0.49	2.8	5	19	0.57	1.0	4f89cae5	11.4	0.9994	0.075
8.7	0.7	0.24	2.5	5	15	0.6	1.0	2022270f	9	0.9991	0.226
8.7	0.7	0.24	2.5	5	15	0.6	1.0	92245a70	9	0.9991	0.226
9.8	0.5	0.49	2.6	5	20	0.79	1.0	2c5674f5	10.7	0.999	0.25
6.2	0.36	0.24	2.2	19	42	0.57	1.0	aaf774f6	11.7	0.9946	0.095
11.5	0.35	0.49	3.3	10	37	0.91	1.0	0d394a4f	11	1.0003	0.07
6.2	0.36	0.24	2.2	19	42	0.57	1.0	75fcc7f9	11.7	0.9946	0.095
10.2	0.24	0.49	2.4	10	28	0.61	1.0	dd803afc	10.4	0.9978	0.075
10.5	0.59	0.49	2.1	14	47	0.56	1.0	ee86205c	9.6	0.9991	0.07
10.6	0.34	0.49	3.2	20	78	0.7	1.0	492f8660	10	0.9992	0.078
12.3	0.27	0.49	3.1	28	46	0.8	1.0	edd8d7c6	10.2	0.9993	0.079
9.9	0.5	0.24	2.3	6	14	0.52	1.0	5f7a3483	10	0.9978	0.103
8.8	0.44	0.49	2.8	18	111	0.6	1.0	6fac1d02	9.5	0.9982	0.083
8.8	0.47	0.49	2.9	17	110	0.6	1.0	c20d1a17	9.8	0.9982	0.085
10.6	0.31	0.49	2.2	18	40	0.51	1.0	2ced0bc6	9.8	0.9976	0.063
12.3	0.5	0.49	2.2	5	14	0.44	1.0	85d49fdb	9.6	1.0002	0.089
12.3	0.5	0.49	2.2	5	14	0.44	1.0	44b26f90	9.6	1.0002	0.089
11.7	0.49	0.49	2.2	5	15	0.43	1.0	ddf4a099	9.2	1	0.083
12	0.28	0.49	1.9	10	21	0.66	1.0	c9e96f5b	9.9	0.9976	0.074
11.8	0.33	0.49	3.4	54	80	0.76	1.0	f9f23967	10.7	1.0002	0.093
7.6	0.51	0.24	2.4	8	38	0.66	1.0	5a7cc8b4	9.6	0.998	0.091
11.1	0.31	0.49	2.7	16	47	1.02	1.0	5dc120ce	10.6	0.9986	0.094
7.3	0.73	0.24	1.9	18	102	0.59	1.0	a85fc87b	9.3	0.9967	0.108
5	0.42	0.24	2	19	50	0.74	1.0	0040ce55	14	0.9917	0.06
10.2	0.29	0.49	2.6	5	13	0.74	1.0	3b4496e4	10.5	0.9976	0.059
9	0.45	0.49	2.6	21	75	0.57	1.0	244d0bde	9.7	0.9987	0.084
6.6	0.39	0.49	1.7	23	149	0.5	1.0	9ee7273b	11.5	0.9922	0.07
9	0.45	0.49	2.6	21	75	0.57	1.0	24ad3768	9.7	0.9987	0.084
9.9	0.49	0.58	3.5	9	43	0.58	1.0	a9465d7a	9	1.0004	0.094
7.9	0.72	0.17	2.6	20	38	0.53	1.0	b4e4cad8	9.5	0.9978	0.096
8.9	0.595	0.41	7.9	30	109	0.57	1.0	890257db	9.3	0.9998	0.086
12.4	0.4	0.51	2	6	24	0.6	1.0	ed161718	9.3	0.9994	0.059
11.9	0.58	0.58	1.9	5	18	0.63	1.0	ff410988	10	0.998	0.071
8.5	0.585	0.18	2.1	5	30	0.48	1.0	6ec7e5ba	9.8	0.9967	0.078
12.7	0.59	0.45	2.3	11	22	0.7	1.0	daca0281	9.3	1	0.082
8.2	0.915	0.27	2.1	7	23	0.47	1.0	b61aeab8	10	0.9962	0.088
13.2	0.46	0.52	2.2	12	35	0.56	1.0	f04c19b9	9	1.0006	0.071
7.7	0.835	0	2.6	6	14	0.52	1.0	bf8c9fc7	9.3	0.9975	0.081
13.2	0.46	0.52	2.2	12	35	0.56	1.0	04a2fb01	9	1.0006	0.071
8.3	0.58	0.13	2.9	14	63	0.62	1.0	b85e5d5c	9.1	0.9984	0.096
8.3	0.6	0.13	2.6	6	24	0.59	1.0	5dacbe2f	9.2	0.9984	0.085
9.4	0.41	0.48	4.6	10	20	0.79	1.0	11fc3a3f	12.2	0.9973	0.072
8.8	0.48	0.41	3.3	26	52	0.53	1.0	049bd166	10.5	0.9982	0.092
10.1	0.65	0.37	5.1	11	65	0.64	1.0	724bcda3	10.4	1.0026	0.11
6.3	0.36	0.19	3.2	15	39	0.52	1.0	7c780606	12.7	0.9956	0.075
8.8	0.24	0.54	2.5	25	57	0.54	1.0	33c4b90b	9.2	0.9983	0.083
13.2	0.38	0.55	2.7	5	16	0.54	1.0	1661baae	9.4	1.0006	0.081
7.5	0.64	0	2.4	18	29	0.6	1.0	335c7509	10	0.9965	0.077
8.2	0.39	0.38	1.5	10	29	0.74	1.0	07e03b55	9.8	0.9962	0.058
9.2	0.755	0.18	2.2	10	103	1.36	1.0	89d8a6c8	10.2	0.9969	0.148
9.6	0.6	0.5	2.3	28	71	0.57	1.0	5c596f85	9.7	0.9997	0.079
9.6	0.6	0.5	2.3	28	71	0.57	1.0	58427486	9.7	0.9997	0.079
11.5	0.31	0.51	2.2	14	28	0.93	1.0	64930d9a	9.8	0.9982	0.079
11.4	0.46	0.5	2.7	4	17	0.7	1.0	1cd58d1a	10.2	1.0006	0.122
11.3	0.37	0.41	2.3	6	16	0.8	1.0	3b37a9ec	9.3	0.9988	0.088
8.3	0.54	0.24	3.4	16	112	0.61	1.0	4793dbb2	9.4	0.9976	0.076
8.2	0.56	0.23	3.4	14	104	0.62	1.0	56bebeeb	9.4	0.9976	0.078
10	0.58	0.22	1.9	9	32	0.55	1.0	ffc40ba5	9.5	0.9974	0.08
7.9	0.51	0.25	2.9	21	45	0.96	1.0	c2c829fb	12.1	0.9974	0.077
6.8	0.69	0	5.6	21	58	0.72	1.0	e397692f	10.2	0.9997	0.124
6.8	0.69	0	5.6	21	58	0.72	1.0	47d315ef	10.2	0.9997	0.124
8.8	0.6	0.29	2.2	5	15	0.49	1.0	0cdd14aa	9.1	0.9988	0.098
8.8	0.6	0.29	2.2	5	15	0.49	1.0	2f721af2	9.1	0.9988	0.098
8.7	0.54	0.26	2.5	7	31	0.6	1.0	8be5502b	9.3	0.9976	0.097
7.6	0.685	0.23	2.3	20	84	0.61	1.0	7054fdc0	9.3	0.9964	0.111
8.7	0.54	0.26	2.5	7	31	0.6	1.0	40ca8942	9.3	0.9976	0.097
10.4	0.28	0.54	2.7	5	19	0.63	1.0	81ba20b1	9.5	0.9988	0.105
7.6	0.41	0.14	3	21	43	0.57	1.0	3a02af8a	10.5	0.9964	0.087
10.1	0.935	0.22	3.4	11	86	0.64	1.0	be8c24a7	11.3	1.001	0.105
7.9	0.35	0.21	1.9	46	102	0.58	1.0	f59764b2	9.5	0.9964	0.073
8.7	0.84	0	1.4	24	33	0.55	1.0	62ffbfaf	9.7	0.9954	0.065
9.6	0.88	0.28	2.4	30	147	0.53	1.0	7b83fccd	9.4	0.9979	0.086
9.5	0.885	0.27	2.3	31	145	0.53	1.0	8541e9a1	9.4	0.9978	0.084
7.7	0.915	0.12	2.2	7	23	0.65	1.0	bc118b01	10.2	0.9964	0.143
8.9	0.29	0.35	1.9	25	57	1.36	1.0	13b51e01	10.3	0.997	0.067
9.9	0.54	0.45	2.3	16	40	0.62	1.0	0b8d8dea	9.4	0.9991	0.071
9.5	0.59	0.44	2.3	21	68	0.63	1.0	2f112307	9.5	0.9992	0.071
9.9	0.54	0.45	2.3	16	40	0.62	1.0	fe7250ac	9.4	0.9991	0.071
9.5	0.59	0.44	2.3	21	68	0.63	1.0	8584b4d2	9.5	0.9992	0.071
9.9	0.54	0.45	2.3	16	40	0.62	1.0	06196f24	9.4	0.9991	0.071
7.8	0.64	0.1	6	5	11	0.69	1.0	6b98d85b	10.1	0.9984	0.115
7.3	0.67	0.05	3.6	6	20	0.63	1.0	efe7d450	10.1	0.9972	0.107
8.3	0.845	0.01	2.2	5	14	0.58	1.0	40ac9f57	11	0.9967	0.07
8.7	0.48	0.3	2.8	10	28	0.67	1.0	c4ec7c00	11.2	0.9964	0.066
6.7	0.42	0.27	8.6	24	148	0.57	1.0	9a550217	11.3	0.9948	0.068
10.7	0.43	0.39	2.2	8	32	0.5	1.0	3adb00ef	9.6	0.9986	0.106
9.8	0.88	0.25	2.5	35	155	0.67	1.0	88faee9c	11.2	1.001	0.104
15.9	0.36	0.65	7.5	22	71	0.84	1.0	4c707985	14.9	0.9976	0.096
9.4	0.33	0.59	2.8	9	30	0.54	1.0	ff4e4e40	12	0.9976	0.079
8.6	0.47	0.47	2.4	7	29	0.46	1.0	29533fb9	9.5	0.9979	0.074
9.7	0.55	0.17	2.9	20	53	0.61	1.0	3b0ef404	9.4	1.0004	0.087
10.7	0.43	0.39	2.2	8	32	0.5	1.0	358568a0	9.6	0.9986	0.106
12	0.5	0.59	1.4	23	42	0.68	1.0	6486ef5e	10.5	0.998	0.073
7.2	0.52	0.07	1.4	5	20	0.81	1.0	24b66724	9.6	0.9973	0.074
7.1	0.84	0.02	4.4	5	13	0.57	1.0	d8f0b24c	11	0.997	0.096
7.2	0.52	0.07	1.4	5	20	0.81	1.0	763900b7	9.6	0.9973	0.074
7.5	0.42	0.31	1.6	15	42	0.64	1.0	164f7a60	9	0.9978	0.08
7.2	0.57	0.06	1.6	9	27	0.7	1.0	cbadcd21	9.6	0.9972	0.076
10.1	0.28	0.46	1.8	5	13	0.79	1.0	8fb3d643	10.2	0.9974	0.05
12.1	0.4	0.52	2	15	54	0.66	1.0	56fc6ce3	10.2	1	0.092
9.4	0.59	0.14	2	25	48	0.56	1.0	2ebba458	9.7	0.9981	0.084
8.3	0.49	0.36	1.8	6	16	0.6	1.0	e2438020	9.5	0.998	0.222
11.3	0.34	0.45	2	6	15	0.66	1.0	48a0a8f2	9.2	0.9988	0.082
10	0.73	0.43	2.3	15	31	0.57	1.0	8032a283	11	0.9966	0.059
11.3	0.34	0.45	2	6	15	0.66	1.0	c7c334cf	9.2	0.9988	0.082
6.9	0.4	0.24	2.5	30	45	0.58	1.0	4838f695	10	0.9959	0.083
8.2	0.73	0.21	1.7	5	13	0.52	1.0	f4730ad1	9.5	0.9968	0.074
9.8	1.24	0.34	2	32	151	0.53	1.0	4eadd264	9.5	0.998	0.079
8.2	0.73	0.21	1.7	5	13	0.52	1.0	248f4488	9.5	0.9968	0.074
10.8	0.4	0.41	2.2	7	17	0.67	1.0	7ab0e7fc	9.3	0.9984	0.084
9.3	0.41	0.39	2.2	12	31	0.65	1.0	7ea1bfb9	10.2	0.9984	0.064
10.8	0.4	0.41	2.2	7	17	0.67	1.0	12b129d3	9.3	0.9984	0.084
8.6	0.8	0.11	2.3	12	31	0.48	1.0	c2be35d9	9.9	0.9979	0.084
8.3	0.78	0.1	2.6	45	87	0.53	1.0	4082c022	10	0.9983	0.081
10.8	0.26	0.45	3.3	20	49	0.54	1.0	455becfe	9.6	0.9972	0.06
13.3	0.43	0.58	1.9	15	40	0.49	1.0	f535cb85	9	1.0004	0.07
8	0.45	0.23	2.2	16	29	0.49	1.0	c7792d27	10.2	0.9962	0.094
8.5	0.46	0.31	2.25	32	58	0.54	1.0	08a2738a	9.8	0.998	0.078
8.1	0.78	0.23	2.6	5	15	0.56	1.0	bea9400c	11.3	0.997	0.059
9.8	0.98	0.32	2.3	35	152	0.48	1.0	28ad9f57	9.4	0.998	0.078
8.1	0.78	0.23	2.6	5	15	0.56	1.0	f6e94a34	11.3	0.997	0.059
7.1	0.65	0.18	1.8	13	40	0.6	1.0	8204c50a	9.1	0.997	0.07
9.1	0.64	0.23	3.1	13	38	0.59	1.0	2c7aa6fc	9.7	0.9998	0.095
7.7	0.66	0.04	1.6	4	9	0.47	1.0	81ea8085	9.4	0.9962	0.039
8.1	0.38	0.48	1.8	5	17	1.05	1.0	9f4f9909	9.4	0.9976	0.157
7.4	1.185	0	4.25	5	14	0.54	1.0	ecfcb12e	10.7	0.9966	0.097
9.2	0.92	0.24	2.6	12	93	0.54	1.0	af73b4dd	9.8	0.9998	0.087
8.6	0.49	0.51	2	16	62	1.17	1.0	d630532e	9	0.9979	0.422
9	0.48	0.32	2.8	21	122	0.62	1.0	b6dc16af	9.4	0.9984	0.084
9	0.47	0.31	2.7	24	125	0.61	1.0	111a84e8	9.4	0.9984	0.084
5.1	0.47	0.02	1.3	18	44	0.62	1.0	8e555270	12.8	0.9921	0.034
7	0.65	0.02	2.1	8	25	0.67	1.0	bcabc13b	9.5	0.9972	0.066
7	0.65	0.02	2.1	8	25	0.67	1.0	fb60f066	9.5	0.9972	0.066
9.4	0.615	0.28	3.2	18	72	0.53	1.0	fda2dcaf	9.7	1.0001	0.087
11.8	0.38	0.55	2.1	5	19	0.62	1.0	faf12597	10.8	0.9986	0.071
10.6	1.02	0.43	2.9	26	88	0.57	1.0	051c535b	10.1	0.9984	0.076
7	0.65	0.02	2.1	8	25	0.67	1.0	0c0f487f	9.5	0.9972	0.066
7	0.64	0.02	2.1	9	23	0.67	1.0	0a75d2e0	9.4	0.997	0.067
7.5	0.38	0.48	2.6	22	84	0.7	1.0	a43f0f75	9.6	0.9972	0.073
9.1	0.765	0.04	1.6	4	14	0.54	1.0	b336a121	9.7	0.998	0.078
8.4	1.035	0.15	6	11	54	0.49	1.0	e36c1f23	9.9	0.999	0.073
7	0.78	0.08	2	10	19	0.47	1.0	a379b654	10	0.9956	0.093
7.4	0.49	0.19	3	16	37	0.51	1.0	f95b45cb	10.5	0.9966	0.077
7.8	0.545	0.12	2.5	11	35	0.61	1.0	a542c367	11.6	0.996	0.068
9.7	0.31	0.47	1.6	13	33	0.66	1.0	84f46b94	10	0.9983	0.062
10.6	1.025	0.43	2.8	21	84	0.57	1.0	4b9fe24a	10.1	0.9985	0.08
8.9	0.565	0.34	3	16	112	0.61	1.0	9fab65fa	9.5	0.9998	0.093
8.7	0.69	0	3.2	13	33	0.45	1.0	168d8aa8	9.4	0.9992	0.084
8	0.43	0.36	2.3	10	48	0.46	1.0	28e43393	9.4	0.9976	0.075
9.9	0.74	0.28	2.6	21	77	0.51	1.0	d61e1f4a	9.8	0.998	0.078
7.2	0.49	0.18	2.7	13	34	0.48	1.0	343f152b	9.2	0.9967	0.069
8	0.43	0.36	2.3	10	48	0.46	1.0	828039e0	9.4	0.9976	0.075
7.6	0.46	0.11	2.6	12	49	0.57	1.0	2d4373a9	10	0.9968	0.079
8.4	0.56	0.04	2	10	22	0.44	1.0	34e6d862	9.6	0.9976	0.082
7.1	0.66	0	3.9	17	45	0.54	1.0	a2de67a0	9.5	0.9976	0.086
8.4	0.56	0.04	2	10	22	0.44	1.0	3fa357af	9.6	0.9976	0.082
8.9	0.48	0.24	2.85	35	106	0.53	1.0	82bd0c4b	9.2	0.9982	0.094
7.6	0.42	0.08	2.7	15	48	0.59	1.0	658605ec	10	0.9968	0.084
7.1	0.31	0.3	2.2	36	127	1.62	1.0	0cb86bdb	9.5	0.9965	0.053
7.5	1.115	0.1	3.1	5	12	0.6	1.0	3292f163	11.2	0.9958	0.086
9	0.66	0.17	3	5	13	0.55	1.0	76460532	10.4	0.9976	0.077
8.1	0.72	0.09	2.8	18	49	0.72	1.0	03e37cc3	11.1	0.9994	0.084
6.4	0.57	0.02	1.8	4	11	0.68	1.0	06f0f075	9.5	0.997	0.067
6.4	0.57	0.02	1.8	4	11	0.68	1.0	9d3c6979	9.5	0.997	0.067
6.4	0.865	0.03	3.2	27	58	0.49	1.0	3329a40a	12.7	0.995	0.071
9.5	0.55	0.66	2.3	12	37	0.67	1.0	a8e2ea60	9.6	0.9982	0.387
8.9	0.875	0.13	3.45	4	14	0.52	1.0	89a0b72c	11.5	0.9994	0.088
7.3	0.835	0.03	2.1	10	19	0.47	1.0	f322cee4	9.6	0.9966	0.092
7	0.45	0.34	2.7	16	72	0.6	1.0	67f3fef0	9.5	0.998	0.082
7.7	0.56	0.2	2	9	39	0.62	1.0	e130fe95	9.3	0.9987	0.075
7.7	0.965	0.1	2.1	11	22	0.5	1.0	72fa625f	9.5	0.9963	0.112
7.7	0.965	0.1	2.1	11	22	0.5	1.0	50ee1220	9.5	0.9963	0.112
8.2	0.59	0	2.5	19	58	0.65	1.0	d15d85b1	9.3	1.0002	0.093
9	0.46	0.23	2.8	28	104	0.56	1.0	c82f11ce	9.2	0.9983	0.092
9	0.69	0	2.4	19	38	0.6	1.0	7ecc372d	9.3	0.999	0.088
8.3	0.76	0.29	4.2	12	16	0.68	1.0	9617a083	11.5	0.9965	0.075
9.2	0.53	0.24	2.6	28	139	0.57	1.0	23e790fd	9.5	0.99788	0.078
6.5	0.615	0	1.9	9	18	0.65	1.0	43a0df7a	9.2	0.9972	0.065
11.6	0.41	0.58	2.8	25	101	0.53	1.0	0d894aa3	10	1.00024	0.096
11.1	0.39	0.54	2.7	21	101	0.51	1.0	7c501747	9.5	1.0001	0.095
7.3	0.51	0.18	2.1	12	28	0.73	1.0	933f994d	9.5	0.99768	0.07
8.2	0.34	0.38	2.5	12	57	0.47	1.0	53a97fc2	9	0.9978	0.08
8.6	0.33	0.4	2.6	16	68	0.48	1.0	68e15395	9.4	0.99782	0.083
7.2	0.5	0.18	2.1	12	31	0.72	1.0	8a75766c	9.6	0.99761	0.071
7.3	0.51	0.18	2.1	12	28	0.73	1.0	5d8231d3	9.5	0.99768	0.07
8.3	0.65	0.1	2.9	17	40	0.55	1.0	24021df7	9.5	0.99803	0.089
8.3	0.65	0.1	2.9	17	40	0.55	1.0	e18d4b7b	9.5	0.99803	0.089
7.6	0.54	0.13	2.5	24	66	0.61	1.0	4282d4d0	9.4	0.99785	0.097
8.3	0.65	0.1	2.9	17	40	0.55	1.0	496e7f60	9.5	0.99803	0.089
7.8	0.48	0.68	1.7	14	32	1.06	1.0	1cb559fb	9.1	0.99656	0.415
7.8	0.91	0.07	1.9	22	47	0.43	1.0	f59ccd91	10.7	0.99525	0.058
6.3	0.98	0.01	2	15	33	0.46	1.0	dd353861	11.2	0.99488	0.057
8.1	0.87	0	2.2	10	31	0.5	1.0	983e537f	9.8	0.99656	0.084
8.1	0.87	0	2.2	10	31	0.5	1.0	efc2178a	9.8	0.99656	0.084
8.8	0.42	0.21	2.5	33	88	0.52	1.0	7c26d3f7	9.2	0.99823	0.092
9	0.58	0.25	2.8	9	104	0.57	1.0	18c14783	9.7	0.99779	0.075
9.3	0.655	0.26	2	5	35	0.42	1.0	73b8fa75	9.6	0.99738	0.096
8.8	0.7	0	1.7	8	19	0.53	1.0	58f97df2	10	0.99701	0.069
9.3	0.655	0.26	2	5	35	0.42	1.0	b42727e5	9.6	0.99738	0.096
9.1	0.68	0.11	2.8	11	44	0.55	1.0	72f6809b	9.5	0.99888	0.093
9.2	0.67	0.1	3	12	48	0.54	1.0	c3894626	9.5	0.99888	0.091
8.8	0.59	0.18	2.9	12	74	0.54	1.0	03e5eb48	9.4	0.99738	0.089
7.5	0.6	0.32	2.7	13	98	0.62	1.0	d04c39f8	9.5	0.99938	0.103
7.1	0.59	0.02	2.3	24	94	0.53	1.0	ab085e9d	9.7	0.99744	0.082
7.9	0.72	0.01	1.9	7	32	0.54	1.0	e4a36d6f	9.6	0.99668	0.076
7.1	0.59	0.02	2.3	24	94	0.53	1.0	76bd50fd	9.7	0.99744	0.082
9.4	0.685	0.26	2.4	23	143	0.55	1.0	f909a548	9.4	0.9978	0.082
9.5	0.57	0.27	2.3	23	144	0.55	1.0	d7f4b73c	9.4	0.99782	0.082
7.9	0.4	0.29	1.8	1	44	0.92	1.0	a49d0bdc	9.5	0.9973	0.157
7.9	0.4	0.3	1.8	2	45	0.91	1.0	e38b9247	9.5	0.99727	0.157
7.2	1	0	3	7	16	0.46	1.0	3c189b1f	10	0.99586	0.102
6.9	0.765	0.18	2.4	5.5	48	0.6	1.0	c34f3286	10.3	0.99612	0.243
6.9	0.635	0.17	2.4	6	18	0.59	1.0	b283696a	10.3	0.9961	0.241
8.3	0.43	0.3	3.4	7	34	0.61	1.0	c5b0adad	10.5	0.99788	0.079
7.1	0.52	0.03	2.6	21	92	0.6	1.0	87d88355	9.8	0.99745	0.076
7	0.57	0	2	12	45	0.6	1.0	de1c7d83	9.4	0.99676	0.19
6.5	0.46	0.14	2.4	9	37	0.65	1.0	2e288017	9.8	0.99732	0.114
9	0.82	0.05	2.4	26	96	0.53	1.0	94ea0033	10	0.99814	0.081
6.5	0.46	0.14	2.4	9	37	0.65	1.0	04e04147	9.8	0.99732	0.114
7.1	0.59	0.01	2.5	20	85	0.59	1.0	2af12f68	9.8	0.99746	0.077
9.9	0.35	0.41	2.3	11	61	0.5	1.0	0259c4f8	9.5	0.9982	0.083
9.9	0.35	0.41	2.3	11	61	0.5	1.0	108df6be	9.5	0.9982	0.083
10	0.56	0.24	2.2	19	58	0.56	1.0	dd2c97f3	10.1	0.9991	0.079
10	0.56	0.24	2.2	19	58	0.56	1.0	d720e40f	10.1	0.9991	0.079
8.6	0.63	0.17	2.9	21	119	0.52	1.0	1be9280f	9.3	0.998	0.099
7.4	0.37	0.43	2.6	18	82	0.68	1.0	51ec1316	9.7	0.99708	0.082
8.8	0.64	0.17	2.9	25	130	0.54	1.0	e6782b5d	9.6	0.99818	0.084
7.1	0.61	0.02	2.5	17	87	0.6	1.0	5562dfe0	9.7	0.99745	0.081
7.7	0.6	0	2.6	7	13	0.56	1.0	4b6973ed	10.8	0.99639	0.055
10.1	0.27	0.54	2.3	7	26	0.53	1.0	4f65764d	12.5	0.99531	0.065
10.8	0.89	0.3	2.6	7	60	1.18	1.0	d105731c	10.2	0.99786	0.132
8.7	0.46	0.31	2.5	24	64	0.74	1.0	d737751d	9.6	0.99746	0.126
9.3	0.37	0.44	1.6	21	42	0.81	1.0	682c90fa	10.8	0.99526	0.038
9.4	0.5	0.34	3.6	5	14	0.52	1.0	788efad8	10.7	0.9987	0.082
9.4	0.5	0.34	3.6	5	14	0.52	1.0	6b1db6a7	10.7	0.9987	0.082
7.2	0.61	0.08	4	26	108	0.51	1.0	54e7ba3b	9.4	0.99641	0.082
8.6	0.55	0.09	3.3	8	17	0.44	1.0	3b6bd355	10	0.99735	0.068
5.1	0.585	0	1.7	14	86	0.94	1.0	d265dbc3	12.9	0.99264	0.044
7.7	0.56	0.08	2.5	14	46	0.66	1.0	b3a48ce0	9.6	0.9971	0.114
8.4	0.52	0.22	2.7	4	18	0.57	1.0	b858fa63	9.9	0.99682	0.084
8.2	0.28	0.4	2.4	4	10	0.7	1.0	83fdd0aa	12.8	0.99356	0.052
8.4	0.25	0.39	2	4	10	0.71	1.0	e0d623fa	12.5	0.99386	0.041
8.2	0.28	0.4	2.4	4	10	0.7	1.0	0a8bdace	12.8	0.99356	0.052
7.4	0.53	0.12	1.9	4	12	0.86	1.0	2115e23f	9.2	0.99702	0.165
7.6	0.48	0.31	2.8	4	15	0.55	1.0	f938ad74	10.3	0.99693	0.07
7.3	0.49	0.1	2.6	4	14	0.47	1.0	b011355a	10.5	0.99562	0.068
12.9	0.5	0.55	2.8	7	24	0.68	1.0	35d1b832	10.9	1.00012	0.072
10.8	0.45	0.33	2.5	20	38	0.71	1.0	b595a737	10.8	0.99818	0.099
6.9	0.39	0.24	2.1	4	7	0.58	1.0	66904601	11.4	0.99462	0.102
12.6	0.41	0.54	2.8	19	41	0.76	1.0	7d4a5cbe	11.3	0.99939	0.103
10.8	0.45	0.33	2.5	20	38	0.71	1.0	19141187	10.8	0.99818	0.099
9.8	0.51	0.19	3.2	8	30	0.58	1.0	2132e020	10.5	0.9984	0.081
10.8	0.29	0.42	1.6	19	27	0.73	1.0	09d2f0a6	11.9	0.99545	0.084
7.1	0.715	0	2.35	21	47	0.45	1.0	073600f6	9.4	0.99632	0.071
9.1	0.66	0.15	3.2	9	59	0.54	1.0	fb205fb8	9.6	0.99976	0.097
7	0.685	0	1.9	9	22	0.6	1.0	48acf6a1	9.7	0.99606	0.099
4.9	0.42	0	2.1	16	42	0.74	1.0	bbe8fa84	14	0.99154	0.048
6.7	0.54	0.13	2	15	36	0.64	1.0	e9e14f88	9.8	0.9973	0.076
6.7	0.54	0.13	2	15	36	0.64	1.0	ead11a70	9.8	0.9973	0.076
7.1	0.48	0.28	2.8	6	16	0.53	1.0	fd8aba49	10.3	0.99682	0.068
7.1	0.46	0.14	2.8	15	37	0.49	1.0	8eb07322	10.7	0.99624	0.076
7.5	0.27	0.34	2.3	4	8	0.64	1.0	3e9915cd	11	0.9951	0.05
7.1	0.46	0.14	2.8	15	37	0.49	1.0	d8b0536e	10.7	0.99624	0.076
7.8	0.57	0.09	2.3	34	45	0.74	1.0	62593809	12.7	0.99417	0.065
5.9	0.61	0.08	2.1	16	24	0.77	1.0	754f4a94	11.1	0.99376	0.071
7.5	0.685	0.07	2.5	5	9	0.55	1.0	48acaa4e	10.9	0.99632	0.058
5.9	0.61	0.08	2.1	16	24	0.77	1.0	1fc20eb1	11.1	0.99376	0.071
10.4	0.44	0.42	1.5	34	48	0.86	1.0	d75d48e5	9.9	0.99832	0.145
11.6	0.47	0.44	1.6	36	51	0.86	1.0	e607048f	9.9	0.99836	0.147
8.8	0.685	0.26	1.6	16	23	0.47	1.0	ed2e3422	9.4	0.99694	0.088
7.6	0.665	0.1	1.5	27	55	0.51	1.0	5c4753bb	9.3	0.99655	0.066
6.7	0.28	0.28	2.4	36	100	0.39	1.0	2e4a329e	11.7	0.99064	0.012
6.7	0.28	0.28	2.4	36	100	0.39	1.0	ad66a3b4	11.7	0.99064	0.012
10.1	0.31	0.35	1.6	9	28	0.83	1.0	04dc4891	11.2	0.99672	0.075
6	0.5	0.04	2.2	13	26	0.47	1.0	b770752d	10	0.99647	0.092
11.1	0.42	0.47	2.65	9	34	0.77	1.0	0b2f5efc	12.1	0.99736	0.085
6.6	0.66	0	3	21	31	0.63	1.0	e7eb822e	10.3	0.99629	0.115
10.6	0.5	0.45	2.6	34	68	0.72	1.0	794c685b	10.9	0.99708	0.119
7.1	0.685	0.35	2	9	92	0.62	1.0	33df1740	9.4	0.9963	0.088
9.9	0.25	0.46	1.7	26	42	0.83	1.0	66fb1b97	10.6	0.9959	0.062
6.4	0.64	0.21	1.8	14	31	0.66	1.0	9a78a37d	9.8	0.99689	0.081
6.4	0.64	0.21	1.8	14	31	0.66	1.0	7da5bda1	9.8	0.99689	0.081
7.4	0.68	0.16	1.8	12	39	0.7	1.0	e28f8f97	9.9	0.9977	0.078
6.4	0.64	0.21	1.8	14	31	0.66	1.0	21a34904	9.8	0.99689	0.081
6.4	0.63	0.21	1.6	12	32	0.66	1.0	5f1dd90c	9.8	0.99689	0.08
9.3	0.43	0.44	1.9	9	22	0.55	1.0	aec67e22	9.5	0.99708	0.085
9.3	0.43	0.44	1.9	9	22	0.55	1.0	78517df2	9.5	0.99708	0.085
8	0.42	0.32	2.5	26	122	1.07	1.0	e01ca56d	9.7	0.99801	0.08
9.3	0.36	0.39	1.5	41	55	0.73	1.0	dd0c5655	10.9	0.99652	0.08
9.3	0.36	0.39	1.5	41	55	0.73	1.0	b638ee0d	10.9	0.99652	0.08
7.6	0.735	0.02	2.5	10	14	0.71	1.0	48ace56b	11.7	0.99538	0.071
9.3	0.36	0.39	1.5	41	55	0.73	1.0	1fd30bfc	10.9	0.99652	0.08
8.2	0.26	0.34	2.5	16	47	0.78	1.0	6e6b6a9b	11.3	0.99594	0.073
11.7	0.28	0.47	1.7	17	32	0.67	1.0	3ccd6fa1	10.6	0.99686	0.054
6.8	0.56	0.22	1.8	15	24	0.82	1.0	c3ec9b74	11.2	0.99438	0.074
7.2	0.62	0.06	2.7	15	85	0.54	1.0	93f75790	9.5	0.99746	0.077
5.8	1.01	0.66	2	15	88	0.6	1.0	5ea09567	11.5	0.99357	0.039
7.5	0.42	0.32	2.7	7	25	0.44	1.0	78a8442c	10.4	0.99628	0.067
7.2	0.62	0.06	2.5	17	84	0.53	1.0	ff5a27e7	9.7	0.99746	0.078
7.2	0.62	0.06	2.7	15	85	0.54	1.0	02c6e9be	9.5	0.99746	0.077
7.2	0.635	0.07	2.6	16	86	0.54	1.0	a9020613	9.7	0.99748	0.077
6.8	0.49	0.22	2.3	13	24	0.83	1.0	3d06c201	11.3	0.99438	0.071
6.9	0.51	0.23	2	13	22	0.84	1.0	e3c75063	11.2	0.99438	0.072
6.8	0.56	0.22	1.8	15	24	0.82	1.0	f1cb0634	11.2	0.99438	0.074
7.6	0.63	0.03	2	27	43	0.64	1.0	d4526b76	10.9	0.99578	0.08
7.7	0.715	0.01	2.1	31	43	0.57	1.0	67ee9134	11.8	0.99371	0.064
6.9	0.56	0.03	1.5	36	46	0.57	1.0	4b65bbb1	10.6	0.99522	0.086
7.3	0.35	0.24	2	28	48	0.54	1.0	a322353f	10	0.99576	0.067
9.1	0.21	0.37	1.6	6	10	0.58	1.0	0fb72249	11.1	0.99552	0.067
10.4	0.38	0.46	2.1	6	10	0.65	1.0	5fe2d392	11.8	0.99664	0.104
8.8	0.31	0.4	2.8	7	16	0.79	1.0	0ffcd2c5	11.8	0.99614	0.109
7.1	0.47	0	2.2	7	14	0.58	1.0	148b8048	10.9	0.99517	0.067
7.7	0.715	0.01	2.1	31	43	0.57	1.0	eb5631e2	11.8	0.99371	0.064
8.8	0.61	0.19	4	30	69	0.5	1.0	efcbce53	10	0.99787	0.094
7.2	0.6	0.04	2.5	18	88	0.55	1.0	38d124f4	9.5	0.99745	0.076
9.2	0.56	0.18	1.6	10	21	0.49	1.0	e7023959	9.9	0.99576	0.078
7.6	0.715	0	2.1	30	35	0.65	1.0	04cc6f5f	11.4	0.99533	0.068
8.4	0.31	0.29	3.1	14	26	0.78	1.0	1ccf348a	12	0.99536	0.194
7.2	0.6	0.04	2.5	18	88	0.55	1.0	5e1ea166	9.5	0.99745	0.076
8.8	0.61	0.19	4	30	69	0.5	1.0	fd95abbd	10	0.99787	0.094
8.9	0.75	0.14	2.5	9	30	0.64	1.0	ba83816f	10.5	0.99824	0.086
9	0.8	0.12	2.4	8	28	0.65	1.0	9e92fb25	10.4	0.99836	0.083
10.7	0.52	0.38	2.6	29	56	0.79	1.0	42e34422	12.1	0.99577	0.066
6.8	0.57	0	2.5	32	64	0.56	1.0	f37601a6	11.2	0.99491	0.072
10.7	0.9	0.34	6.6	23	99	0.68	1.0	52176fa6	9.3	1.00289	0.112
7.2	0.34	0.24	2	30	52	0.58	1.0	f045ef12	10.1	0.99576	0.071
7.2	0.66	0.03	2.3	16	86	0.57	1.0	ba1c0066	9.7	0.99743	0.078
10.1	0.45	0.23	1.9	10	18	0.65	1.0	63aceb7a	9.3	0.99774	0.082
7.2	0.66	0.03	2.3	16	86	0.57	1.0	79fa7a74	9.7	0.99743	0.078
7.2	0.63	0.03	2.2	17	88	0.58	1.0	2a1c5477	9.8	0.99745	0.08
7.1	0.59	0.01	2.3	27	43	0.58	1.0	20849363	10.7	0.9955	0.08
8.3	0.31	0.39	2.4	17	43	0.77	1.0	dfd5b557	12.5	0.99444	0.078
7.1	0.59	0.01	2.3	27	43	0.58	1.0	e44a07e0	10.7	0.9955	0.08
8.3	0.31	0.39	2.4	17	43	0.77	1.0	fdb2025b	12.5	0.99444	0.078
8.3	1.02	0.02	3.4	6	11	0.49	1.0	131f95dc	11	0.99892	0.084
8.9	0.31	0.36	2.6	10	39	0.69	1.0	687ca517	11.8	0.99562	0.056
7.4	0.635	0.1	2.4	16	33	0.69	1.0	b8a182fe	10.8	0.99736	0.08
7.4	0.635	0.1	2.4	16	33	0.69	1.0	c47ebfa4	10.8	0.99736	0.08
6.8	0.59	0.06	6	11	18	0.59	1.0	5b2e1e7b	10.8	0.9962	0.06
6.8	0.59	0.06	6	11	18	0.59	1.0	c9ba1806	10.8	0.9962	0.06
9.2	0.58	0.2	3	15	115	0.59	1.0	69d717dd	9.5	0.998	0.081
7.2	0.54	0.27	2.6	12	78	0.71	1.0	12b5c23c	11	0.9964	0.084
6.1	0.56	0	2.2	6	9	0.54	1.0	da9365db	11.5	0.9948	0.079
7.4	0.52	0.13	2.4	34	61	0.59	1.0	d8b38fce	10.8	0.99528	0.078
7.3	0.305	0.39	1.2	7	11	0.52	1.0	284b5abe	11.5	0.99331	0.059
9.3	0.38	0.48	3.8	3	11	0.57	1.0	dd71c618	13.2	0.99577	0.132
9.1	0.28	0.46	9	3	9	0.6	1.0	fdc24f7b	10.9	0.99901	0.114
10	0.46	0.44	2.9	4	8	0.62	1.0	59e24034	12.2	0.99674	0.065
9.4	0.395	0.46	4.6	3	10	0.64	1.0	b4b90551	12.2	0.99639	0.094
7.3	0.305	0.39	1.2	7	11	0.52	1.0	8531c372	11.5	0.99331	0.059
8.6	0.315	0.4	2.2	3	6	0.67	1.0	a78caa94	11.9	0.99512	0.079
5.3	0.715	0.19	1.5	7	62	0.61	1.0	5e6f8406	11	0.99395	0.161
6.8	0.41	0.31	8.8	26	45	0.64	1.0	f924169a	10.1	0.99824	0.084
8.4	0.36	0.32	2.2	32	79	0.72	1.0	d69e4e94	11	0.9964	0.081
8.4	0.62	0.12	1.8	38	46	0.89	1.0	46205d8a	11.8	0.99504	0.072
9.6	0.41	0.37	2.3	10	23	0.56	1.0	fd68aa00	10.5	0.99786	0.091
8.4	0.36	0.32	2.2	32	79	0.72	1.0	47a0f314	11	0.9964	0.081
8.4	0.62	0.12	1.8	38	46	0.89	1.0	33a4aa22	11.8	0.99504	0.072
6.8	0.41	0.31	8.8	26	45	0.64	1.0	21c5f320	10.1	0.99824	0.084
8.6	0.47	0.27	2.3	14	28	0.8	1.0	365d05a3	11.2	0.99516	0.055
8.6	0.22	0.36	1.9	53	77	0.87	1.0	8581b476	11	0.99604	0.064
9.4	0.24	0.33	2.3	52	73	0.9	1.0	f8205fdd	10.2	0.99786	0.061
8.4	0.67	0.19	2.2	11	75	0.59	1.0	abb3dddd	9.2	0.99736	0.093
8.6	0.47	0.27	2.3	14	28	0.8	1.0	1e3a93c2	11.2	0.99516	0.055
8.7	0.33	0.38	3.3	10	19	0.73	1.0	ca657af5	12	0.99468	0.063
6.6	0.61	0.01	1.9	8	25	0.73	1.0	f09f920a	10.5	0.99746	0.08
7.4	0.61	0.01	2	13	38	0.65	1.0	432e9ca5	9.8	0.99748	0.074
7.6	0.4	0.29	1.9	29	66	0.59	1.0	625b2b7b	9.5	0.9971	0.078
7.4	0.61	0.01	2	13	38	0.65	1.0	264fe69f	9.8	0.99748	0.074
6.6	0.61	0.01	1.9	8	25	0.73	1.0	7b536362	10.5	0.99746	0.08
8.8	0.3	0.38	2.3	19	72	0.72	1.0	cb9692f6	11.8	0.99543	0.06
8.8	0.3	0.38	2.3	19	72	0.72	1.0	9b2e45da	11.8	0.99543	0.06
12	0.63	0.5	1.4	6	26	0.6	1.0	09a4b7c9	10.4	0.99791	0.071
7.2	0.38	0.38	2.8	23	42	0.72	1.0	1c4a67a0	12.9	0.99356	0.068
6.2	0.46	0.17	1.6	7	11	0.54	1.0	519e95a3	11.4	0.99425	0.073
9.6	0.33	0.52	2.2	13	25	0.76	1.0	4477dc45	12.4	0.99509	0.074
9.9	0.27	0.49	5	9	17	0.52	1.0	f0af1690	12.5	0.99484	0.082
10.1	0.43	0.4	2.6	13	52	0.64	1.0	49681e7a	10	0.99834	0.092
9.8	0.5	0.34	2.3	10	45	0.6	1.0	057df616	9.7	0.99864	0.094
8.3	0.3	0.49	3.8	11	24	0.64	1.0	5584a684	12.1	0.99498	0.09
10.2	0.44	0.42	2	7	20	0.79	1.0	3aaac474	11.1	0.99566	0.071
10.2	0.44	0.58	4.1	11	24	0.99	1.0	457e9538	12	0.99745	0.092
8.3	0.28	0.48	2.1	6	12	0.62	1.0	73234041	12.4	0.99408	0.093
8.9	0.12	0.45	1.8	10	21	0.76	1.0	b3a3b276	11.9	0.99552	0.075
8.9	0.12	0.45	1.8	10	21	0.76	1.0	128b2607	11.9	0.99552	0.075
8.9	0.12	0.45	1.8	10	21	0.76	1.0	4619b765	11.9	0.99552	0.075
8.3	0.28	0.48	2.1	6	12	0.62	1.0	eb2635cf	12.4	0.99408	0.093
8.2	0.31	0.4	2.2	6	10	0.68	1.0	c92c3ab0	11.2	0.99536	0.058
10.2	0.34	0.48	2.1	5	9	0.69	1.0	e1b15219	12.1	0.99458	0.052
7.6	0.43	0.4	2.7	6	11	0.54	1.0	b4054755	12.2	0.99538	0.082
8.5	0.21	0.52	1.9	9	23	0.67	1.0	dbfe7ca1	10.4	0.99648	0.09
9	0.36	0.52	2.1	5	10	0.62	1.0	8bc0ab26	11.3	0.99568	0.111
9.5	0.37	0.52	2	12	51	0.58	1.0	2027999d	11.1	0.99613	0.088
6.4	0.57	0.12	2.3	25	36	0.71	1.0	5a53df10	11.3	0.99519	0.12
8	0.59	0.05	2	12	32	0.61	1.0	6b264cb4	10	0.99735	0.089
8.5	0.47	0.27	1.9	18	38	0.85	1.0	6a4a252c	11.1	0.99518	0.058
7.1	0.56	0.14	1.6	7	18	0.62	1.0	bf60196f	9.3	0.99592	0.078
6.6	0.57	0.02	2.1	6	16	0.69	1.0	d6c35ba6	9.5	0.99654	0.115
8.8	0.27	0.39	2	20	27	0.69	1.0	71fa8e41	11.2	0.99546	0.1
8.5	0.47	0.27	1.9	18	38	0.85	1.0	7cab1539	11.1	0.99518	0.058
8.3	0.34	0.4	2.4	24	48	0.86	1.0	712a7400	11	0.99554	0.065
9	0.38	0.41	2.4	6	10	0.58	1.0	9076f883	11.9	0.99604	0.103
8.5	0.66	0.2	2.1	23	113	0.48	1.0	d60f2e27	9.2	0.99733	0.097
9	0.4	0.43	2.4	29	46	0.6	1.0	49adce34	12.2	0.9943	0.068
6.7	0.56	0.09	2.9	7	22	0.61	1.0	36f24438	10.2	0.99669	0.079
10.4	0.26	0.48	1.9	6	10	0.87	1.0	1ac9a04b	10.9	0.99724	0.066
10.4	0.26	0.48	1.9	6	10	0.87	1.0	e4549768	10.9	0.99724	0.066
10.1	0.38	0.5	2.4	6	13	0.65	1.0	f495e5d5	11.6	0.99643	0.104
8.5	0.34	0.44	1.7	6	12	0.63	1.0	6f744006	10.7	0.99605	0.079
8.8	0.33	0.41	5.9	7	13	0.62	1.0	d543b26a	12.1	0.99658	0.073
7.2	0.41	0.3	2.1	35	72	0.52	1.0	68ba6637	9.4	0.997	0.083
7.2	0.41	0.3	2.1	35	72	0.52	1.0	8b385254	9.4	0.997	0.083
8.4	0.59	0.29	2.6	31	119	0.5	1.0	c3764db4	9.1	0.99801	0.109
7	0.4	0.32	3.6	9	29	0.49	1.0	49fce81d	11.3	0.99416	0.061
12.2	0.45	0.49	1.4	3	6	0.63	1.0	f1428371	10.4	0.9969	0.075
9.1	0.5	0.3	1.9	8	17	0.71	1.0	442051c4	10.5	0.99774	0.065
9.5	0.86	0.26	1.9	13	28	0.62	1.0	d7f41279	10	0.99712	0.079
7.3	0.52	0.32	2.1	51	70	0.82	1.0	3143479d	12.9	0.99418	0.07
9.1	0.5	0.3	1.9	8	17	0.71	1.0	50c9b2b6	10.5	0.99774	0.065
12.2	0.45	0.49	1.4	3	6	0.63	1.0	53e5df60	10.4	0.9969	0.075
7.4	0.58	0	2	7	11	0.58	1.0	d116b504	11.3	0.99562	0.064
9.8	0.34	0.39	1.4	3	7	0.55	1.0	2bf7bb99	11.4	0.9947	0.066
7.1	0.36	0.3	1.6	35	70	0.5	1.0	fe8335c7	9.4	0.99693	0.08
7.7	0.39	0.12	1.7	19	27	0.49	1.0	59dc069c	9.4	0.99596	0.097
9.7	0.295	0.4	1.5	14	21	0.51	1.0	5f1046ba	10.9	0.99556	0.073
7.7	0.39	0.12	1.7	19	27	0.49	1.0	e71342eb	9.4	0.99596	0.097
7.1	0.34	0.28	2	31	68	0.48	1.0	63bba875	9.4	0.99694	0.082
6.5	0.4	0.1	2	30	47	0.48	1.0	1c7fff05	9.4	0.99554	0.076
7.1	0.34	0.28	2	31	68	0.48	1.0	774bdea5	9.4	0.99694	0.082
10	0.35	0.45	2.5	20	88	0.43	1.0	c8b3185a	9.4	0.99918	0.092
7.7	0.6	0.06	2	19	41	0.62	1.0	0691a420	10.1	0.99697	0.079
5.6	0.66	0	2.2	3	11	0.63	1.0	87193627	12.8	0.99378	0.087
5.6	0.66	0	2.2	3	11	0.63	1.0	07cce5e4	12.8	0.99378	0.087
8.9	0.84	0.34	1.4	4	10	0.48	1.0	733da10e	9.1	0.99554	0.05
6.4	0.69	0	1.65	7	12	0.53	1.0	2083b6e6	12.9	0.99162	0.055
7.5	0.43	0.3	2.2	6	12	0.72	1.0	c5422e26	11.5	0.99495	0.062
9.9	0.35	0.38	1.5	31	47	0.82	1.0	98218ac5	10.6	0.99676	0.058
9.1	0.29	0.33	2.05	13	27	0.84	1.0	d8ba3bab	11.7	0.99516	0.063
6.8	0.36	0.32	1.8	4	8	0.55	1.0	56bfc828	12.8	0.9928	0.067
8.2	0.43	0.29	1.6	27	45	0.54	1.0	c05647f0	10.3	0.99603	0.081
6.8	0.36	0.32	1.8	4	8	0.55	1.0	2a8f2e75	12.8	0.9928	0.067
9.1	0.29	0.33	2.05	13	27	0.84	1.0	b453cdc3	11.7	0.99516	0.063
9.1	0.3	0.34	2	12	25	0.84	1.0	316c943a	11.7	0.99516	0.064
8.9	0.35	0.4	3.6	12	24	0.7	1.0	90cb1a90	12	0.99549	0.11
9.6	0.5	0.36	2.8	26	55	0.68	1.0	5d18a341	10.9	0.99722	0.116
8.9	0.28	0.45	1.7	7	12	0.55	1.0	b9e7161f	12.3	0.99354	0.067
8.9	0.32	0.31	2	12	19	0.55	1.0	4e61196e	10.4	0.9957	0.088
7.7	1.005	0.15	2.1	11	32	0.48	1.0	2f032727	10	0.99604	0.102
7.5	0.71	0	1.6	22	31	0.58	1.0	c5677615	10	0.99635	0.092
8	0.58	0.16	2	3	7	0.58	1.0	a651872f	11.2	0.99454	0.12
10.5	0.39	0.46	2.2	14	27	0.84	1.0	b109bfa2	11.4	0.99598	0.075
8.9	0.38	0.4	2.2	12	28	0.75	1.0	56106a0d	12.6	0.99486	0.068
8	0.18	0.37	0.9	36	109	0.44	1.0	26c85b61	12.7	0.99007	0.049
8	0.18	0.37	0.9	36	109	0.44	1.0	36be7bb2	12.7	0.99007	0.049
7	0.5	0.14	1.8	10	23	0.61	1.0	c4d367b7	10.4	0.99636	0.078
11.3	0.36	0.66	2.4	3	8	0.53	1.0	5ecb396a	11.9	0.99642	0.123
11.3	0.36	0.66	2.4	3	8	0.53	1.0	adea3486	11.9	0.99642	0.123
7	0.51	0.09	2.1	4	9	0.54	1.0	a21d8ddc	10.5	0.99584	0.062
8.2	0.32	0.42	2.3	3	9	0.55	1.0	a26a9659	12.3	0.99506	0.098
7.7	0.58	0.01	1.8	12	18	0.56	1.0	c36f93c9	10.5	0.99568	0.088
8.6	0.83	0	2.8	17	43	0.6	1.0	b63d75dd	10.4	0.99822	0.095
7.9	0.31	0.32	1.9	14	36	0.56	1.0	115ae285	12.6	0.99364	0.066
6.4	0.795	0	2.2	28	52	0.52	1.0	0b6546f7	11.6	0.99378	0.065
7.2	0.34	0.21	2.5	41	68	0.54	1.0	434704b4	10.1	0.99586	0.075
7.7	0.58	0.01	1.8	12	18	0.56	1.0	7e45ebd9	10.5	0.99568	0.088
7.1	0.59	0	2.1	9	14	0.55	1.0	74e6f9f1	11.5	0.99488	0.091
7.3	0.55	0.01	1.8	9	15	0.58	1.0	64766e93	11	0.99514	0.093
8.1	0.82	0	4.1	5	14	0.53	1.0	fa5be60a	9.6	0.99854	0.095
7.5	0.57	0.08	2.6	14	27	0.59	1.0	a54a908f	10.4	0.99592	0.089
8.9	0.745	0.18	2.5	15	48	0.47	1.0	2f321a9c	9.7	0.99739	0.077
10.1	0.37	0.34	2.4	5	17	0.65	1.0	37919914	10.6	0.99683	0.085
7.6	0.31	0.34	2.5	26	35	0.59	1.0	4fed4f75	12.5	0.99356	0.082
7.3	0.91	0.1	1.8	20	56	0.56	1.0	f84f5f1e	9.2	0.99672	0.074
8.7	0.41	0.41	6.2	25	42	0.77	1.0	f1a3aa05	12.6	0.9953	0.078
8.9	0.5	0.21	2.2	21	39	0.83	1.0	92885af7	11.1	0.99692	0.088
7.4	0.965	0	2.2	16	32	0.67	1.0	84d5fdbb	10.2	0.99756	0.088
6.9	0.49	0.19	1.7	13	26	0.64	1.0	ab186be6	9.8	0.99547	0.079
8.9	0.5	0.21	2.2	21	39	0.83	1.0	cd8d24aa	11.1	0.99692	0.088
9.5	0.39	0.41	8.9	18	39	0.81	1.0	e0aa5b75	10.9	0.99859	0.069
6.4	0.39	0.33	3.3	12	53	0.62	1.0	f262aef8	12.2	0.99294	0.046
6.9	0.44	0	1.4	32	38	0.58	1.0	a62f0f96	11.4	0.99438	0.07
7.6	0.78	0	1.7	33	45	0.62	1.0	5c254bab	10.7	0.99612	0.076
7.1	0.43	0.17	1.8	27	51	0.64	1.0	c6f82308	10.4	0.99634	0.082
9.3	0.49	0.36	1.7	3	14	0.78	1.0	5d3ad3ce	10.9	0.99702	0.081
9.3	0.5	0.36	1.8	6	17	0.77	1.0	0dd69bb3	10.8	0.99704	0.084
7.1	0.43	0.17	1.8	27	51	0.64	1.0	c29f06bd	10.4	0.99634	0.082
8.5	0.46	0.59	1.4	16	45	1.34	1.0	e524f165	9.2	0.99702	0.414
5.6	0.605	0.05	2.4	19	25	0.55	1.0	76204944	12.9	0.99258	0.073
8.3	0.33	0.42	2.3	9	20	0.77	1.0	9f058457	12.7	0.99426	0.07
8.2	0.64	0.27	2	5	77	0.62	1.0	c7b8c7a3	9.1	0.99747	0.095
8.2	0.64	0.27	2	5	77	0.62	1.0	b8c32eff	9.1	0.99747	0.095
8.9	0.48	0.53	4	3	10	0.59	1.0	0fbca64b	12.1	0.99586	0.101
7.6	0.42	0.25	3.9	28	90	0.57	1.0	a696d094	9.1	0.99784	0.104
9.9	0.53	0.57	2.4	30	52	0.76	1.0	4412f135	11.6	0.9971	0.093
8.9	0.48	0.53	4	3	10	0.59	1.0	b24eb04c	12.1	0.99586	0.101
11.6	0.23	0.57	1.8	3	8	0.7	1.0	c6b5ea47	9.9	0.9981	0.074
9.1	0.4	0.5	1.8	7	16	0.69	1.0	554bfe92	12.5	0.99462	0.071
8	0.38	0.44	1.9	6	15	0.64	1.0	e8ffd071	11.4	0.9956	0.098
10.2	0.29	0.65	2.4	6	17	0.63	1.0	8148ed7a	11.8	0.99565	0.075
8.2	0.74	0.09	2	5	10	0.57	1.0	d0f5b018	11.8	0.99418	0.067
7.7	0.61	0.18	2.4	6	20	0.6	1.0	2f6b1121	10.2	0.9963	0.083
6.6	0.52	0.08	2.4	13	26	0.72	1.0	4a937e21	12.5	0.99358	0.07
11.1	0.31	0.53	2.2	3	10	0.83	1.0	11c261f6	10.9	0.99572	0.06
11.1	0.31	0.53	2.2	3	10	0.83	1.0	0533498c	10.9	0.99572	0.06
8	0.62	0.35	2.8	28	52	0.62	1.0	41dac722	10.8	0.997	0.086
9.3	0.33	0.45	1.5	19	37	0.89	1.0	7875fdf9	11.1	0.99498	0.057
7.5	0.77	0.2	8.1	30	92	0.58	1.0	ecdc7192	9.2	0.99892	0.098
7.2	0.35	0.26	1.8	33	75	0.58	1.0	fa16b781	9.5	0.9968	0.083
8	0.62	0.33	2.7	16	37	0.58	1.0	1448b9e7	10.7	0.9972	0.088
7.5	0.77	0.2	8.1	30	92	0.58	1.0	892e4770	9.2	0.99892	0.098
9.1	0.25	0.34	2	45	67	0.86	1.0	f2085f46	10.2	0.99769	0.071
9.9	0.32	0.56	2	3	8	0.73	1.0	c7b67642	11.4	0.99534	0.073
8.6	0.37	0.65	6.4	3	8	0.58	1.0	d0eaad5a	11	0.99817	0.08
8.6	0.37	0.65	6.4	3	8	0.58	1.0	9c8fcba6	11	0.99817	0.08
7.9	0.3	0.68	8.3	37.5	278	0.51	1.0	6c944d80	12.3	0.99316	0.05
10.3	0.27	0.56	1.4	3	8	0.51	1.0	1f2e1800	11.8	0.99471	0.047
7.9	0.3	0.68	8.3	37.5	289	0.51	1.0	246c542e	12.3	0.99316	0.05
7.2	0.38	0.3	1.8	31	70	0.59	1.0	75b80d9d	9.5	0.99685	0.073
8.7	0.42	0.45	2.4	32	59	0.77	1.0	def59ed5	12	0.99617	0.072
7.2	0.38	0.3	1.8	31	70	0.59	1.0	aa411c62	9.5	0.99685	0.073
6.8	0.48	0.08	1.8	40	64	0.49	1.0	8047c9ec	9.6	0.99529	0.074
8.5	0.34	0.4	4.7	3	9	0.66	1.0	28eb8ff6	11.6	0.99738	0.055
7.9	0.19	0.42	1.6	18	30	0.69	1.0	2ef0f53e	11.2	0.994	0.057
11.6	0.41	0.54	1.5	22	41	0.76	1.0	b304e4bf	9.9	0.99735	0.095
11.6	0.41	0.54	1.5	22	41	0.76	1.0	62ee5378	9.9	0.99735	0.095
10	0.26	0.54	1.9	42	74	0.63	1.0	0e83f2e4	11.8	0.99451	0.083
7.9	0.34	0.42	2	8	19	0.6	1.0	8e9991cc	11.4	0.99546	0.086
7	0.54	0.09	2	10	16	0.59	1.0	d74e8247	11.5	0.99479	0.081
9.2	0.31	0.36	2.2	11	31	0.86	1.0	901b236f	12	0.99615	0.079
6.6	0.725	0.09	5.5	9	17	0.49	1.0	8b947a26	10.8	0.99655	0.117
9.4	0.4	0.47	2.5	6	20	0.5	1.0	63d04f6e	10.5	0.99772	0.087
6.6	0.725	0.09	5.5	9	17	0.49	1.0	f94346f8	10.8	0.99655	0.117
8.6	0.52	0.38	1.5	5	18	0.52	1.0	9dbe3483	9.4	0.99666	0.096
8	0.31	0.45	2.1	5	16	0.81	1.0	6dcf5cc7	12.5	0.99358	0.216
8.6	0.52	0.38	1.5	5	18	0.52	1.0	58e1d9ed	9.4	0.99666	0.096
8.4	0.34	0.42	2.1	23	36	0.78	1.0	88412a45	12.4	0.99392	0.072
7.4	0.49	0.27	2.1	14	25	0.63	1.0	01e328ea	12	0.99388	0.071
6.1	0.48	0.09	1.7	18	30	0.54	1.0	1474486f	11.2	0.99402	0.078
7.4	0.49	0.27	2.1	14	25	0.63	1.0	47300292	12	0.99388	0.071
8	0.48	0.34	2.2	16	25	0.66	1.0	23e9ae98	12.4	0.9936	0.073
6.3	0.57	0.28	2.1	13	49	0.6	1.0	846545ef	12.8	0.99374	0.048
8.2	0.23	0.42	1.9	9	17	0.54	1.0	ac66cc34	12.3	0.99376	0.069
9.1	0.3	0.41	2	10	24	0.85	1.0	db70c846	11.7	0.99523	0.068
8.1	0.78	0.1	3.3	4	13	0.49	1.0	0ec707cb	9.5	0.99855	0.09
10.8	0.47	0.43	2.1	27	66	0.76	1.0	1e5e3817	10.8	0.9982	0.171
8.3	0.53	0	1.4	6	14	0.64	1.0	63e4feba	10	0.99593	0.07
5.4	0.42	0.27	2	23	55	0.64	1.0	f9834307	12.3	0.99471	0.092
7.9	0.33	0.41	1.5	6	35	0.71	1.0	211844c1	11	0.99396	0.056
8.9	0.24	0.39	1.6	3	10	0.59	1.0	095e7139	9.5	0.99698	0.074
5	0.4	0.5	4.3	29	80	0.66	1.0	c8cdc26a	13.6	0.9902	0.046
7	0.69	0.07	2.5	15	21	0.6	1.0	4208c172	11.3	0.99572	0.091
7	0.69	0.07	2.5	15	21	0.6	1.0	ffc07cc4	11.3	0.99572	0.091
7	0.69	0.07	2.5	15	21	0.6	1.0	87f53a2d	11.3	0.99572	0.091
7.1	0.39	0.12	2.1	14	24	0.53	1.0	0a33a36a	13.3	0.99252	0.065
5.6	0.66	0	2.5	7	15	0.58	1.0	f54e8193	12.9	0.99256	0.066
7.9	0.54	0.34	2.5	8	17	0.72	1.0	a3538861	13.1	0.99235	0.076
6.6	0.5	0	1.8	21	28	0.55	1.0	976c3c38	12.3	0.99352	0.062
6.3	0.47	0	1.4	27	33	0.48	1.0	3e8d7ef1	12.3	0.9922	0.055
10.7	0.4	0.37	1.9	17	29	0.65	1.0	f8b66ed8	11.2	0.99674	0.081
6.5	0.58	0	2.2	3	13	0.62	1.0	72c930e2	11.5	0.99557	0.096
8.8	0.24	0.35	1.7	13	27	0.59	1.0	282e6d18	11.3	0.99394	0.055
5.8	0.29	0.26	1.7	3	11	0.54	1.0	6147502d	13.5	0.9915	0.063
6.3	0.76	0	2.9	26	52	0.6	1.0	539562d8	11.5	0.99379	0.072
10	0.43	0.33	2.7	28	89	0.68	1.0	5e2e4c8f	10	0.9984	0.095
10.5	0.43	0.35	3.3	24	70	0.69	1.0	491eb6e5	10.5	0.99798	0.092
9.1	0.6	0	1.9	5	10	0.63	1.0	a1201ef1	10.4	0.9977	0.058
5.9	0.19	0.21	1.7	57	135	0.44	1.0	0b739903	9.5	0.99341	0.045
7.4	0.36	0.34	1.8	18	38	0.88	1.0	f1b9579c	13.6	0.9933	0.075
7.2	0.48	0.07	5.5	10	18	0.68	1.0	7b8de94f	11.2	0.99684	0.089
8.5	0.28	0.35	1.7	6	15	0.74	1.0	0b7d52d1	11.8	0.99524	0.061
8	0.25	0.43	1.7	22	50	0.6	1.0	09328fa9	11.9	0.9946	0.067
10.4	0.52	0.45	2	6	13	0.76	1.0	cc096160	11.4	0.99774	0.08
10.4	0.52	0.45	2	6	13	0.76	1.0	f0749e8f	11.4	0.99774	0.08
7.5	0.41	0.15	3.7	29	94	0.58	1.0	6d05b49f	9.1	0.99786	0.104
8.2	0.51	0.24	2	16	86	0.64	1.0	0864999a	9.5	0.99764	0.079
7.3	0.4	0.3	1.7	33	79	0.65	1.0	1a710a71	9.5	0.9969	0.08
8.2	0.38	0.32	2.5	24	71	0.85	1.0	981fbcfc	11	0.99624	0.08
6.9	0.45	0.11	2.4	6	12	0.65	1.0	ecd7aca9	11.4	0.99354	0.043
7	0.22	0.3	1.8	16	20	0.82	1.0	0b71518d	10	0.99672	0.065
7.3	0.32	0.23	2.3	35	70	0.62	1.0	3bb92be4	10.1	0.99588	0.066
8.2	0.2	0.43	2.5	31	51	0.81	1.0	6ffb5c95	10.4	0.99672	0.076
7.8	0.5	0.12	1.8	6	21	0.87	1.0	940bf70b	9.8	0.996	0.178
10	0.41	0.45	6.2	6	14	0.49	1.0	13256058	11.8	0.99702	0.071
7.8	0.39	0.42	2	9	21	0.66	1.0	22edd2cc	11.6	0.99526	0.086
10	0.35	0.47	2	6	11	0.52	1.0	888ff56c	12	0.99585	0.061
8.2	0.33	0.32	2.8	4	12	0.76	1.0	f26fb0ce	12.8	0.99473	0.067
6.1	0.58	0.23	2.5	16	70	0.65	1.0	3523339e	12.5	0.99352	0.044
8.3	0.6	0.25	2.2	9	38	0.53	1.0	91aea26a	9.8	0.99616	0.118
9.6	0.42	0.35	2.1	17	38	0.66	1.0	126cbab8	11.1	0.99622	0.083
6.6	0.58	0	2.2	50	63	0.68	1.0	0bf0ac7a	11.4	0.99544	0.1
8.3	0.6	0.25	2.2	9	38	0.53	1.0	b2be523e	9.8	0.99616	0.118
8.5	0.18	0.51	1.75	45	88	0.76	1.0	09de1923	11.8	0.99524	0.071
5.1	0.51	0.18	2.1	16	101	0.87	1.0	f0d96896	12.9	0.9924	0.042
6.7	0.41	0.43	2.8	22	54	1.16	1.0	be564ae4	10.6	0.99572	0.076
10.2	0.41	0.43	2.2	11	37	0.67	1.0	686236a0	10.8	0.99728	0.11
10.6	0.36	0.57	2.3	6	20	0.72	1.0	aff6f6aa	11.1	0.99676	0.087
8.8	0.45	0.43	1.4	12	21	0.75	1.0	a3ba42e9	10.2	0.99551	0.076
8.5	0.32	0.42	2.3	12	19	0.71	1.0	86f2eabe	11.8	0.99434	0.075
9	0.785	0.24	1.7	10	21	0.67	1.0	b231b8d4	10	0.99692	0.078
9	0.785	0.24	1.7	10	21	0.67	1.0	3757dbda	10	0.99692	0.078
8.5	0.44	0.5	1.9	15	38	1.1	1.0	650efca9	9.4	0.99634	0.369
9.9	0.54	0.26	2	7	60	0.98	1.0	004d74e7	10.2	0.99709	0.111
8.2	0.33	0.39	2.5	29	48	0.88	1.0	716228f1	12.4	0.99528	0.074
6.5	0.34	0.27	2.8	8	44	0.56	1.0	9378e95b	12	0.99384	0.067
7.6	0.5	0.29	2.3	5	14	0.62	1.0	0a1b73aa	11.5	0.99502	0.086
9.2	0.36	0.34	1.6	5	12	0.67	1.0	ceacc166	10.5	0.99667	0.062
7.1	0.59	0	2.2	26	44	0.68	1.0	6b42631b	10.8	0.99522	0.078
9.7	0.42	0.46	2.1	5	16	0.74	1.0	58bacd4b	12.3	0.99649	0.074
7.6	0.36	0.31	1.7	26	65	0.62	1.0	5873feb4	9.5	0.99716	0.079
7.6	0.36	0.31	1.7	26	65	0.62	1.0	f8d33f54	9.5	0.99716	0.079
6.5	0.61	0	2.2	48	59	0.7	1.0	9f18d1d8	11.5	0.99541	0.095
6.5	0.88	0.03	5.6	23	47	0.5	1.0	24cee935	11.2	0.99572	0.079
7.1	0.66	0	2.4	6	11	0.66	1.0	41d0617c	12.7	0.99318	0.052
5.6	0.915	0	2.1	17	78	0.73	1.0	7f08b8e0	11.4	0.99346	0.041
8.2	0.35	0.33	2.4	11	47	0.81	1.0	a7864aaf	11	0.99599	0.076
8.2	0.35	0.33	2.4	11	47	0.81	1.0	466b979f	11	0.99599	0.076
9.8	0.39	0.43	1.65	5	11	0.46	1.0	4431f3ad	11.4	0.99478	0.068
10.2	0.4	0.4	2.5	41	54	0.86	1.0	896392ac	10.5	0.99754	0.068
6.8	0.66	0.07	1.6	16	61	0.6	1.0	89aaa55e	9.3	0.99572	0.07
6.7	0.64	0.23	2.1	11	119	0.7	1.0	29372b28	10.9	0.99538	0.08
7	0.43	0.3	2	6	39	0.46	1.0	da8fcd12	11.9	0.99346	0.085
6.6	0.8	0.03	7.8	6	12	0.5	1.0	1fcd5d0d	12.2	0.9963	0.079
7	0.43	0.3	2	6	39	0.46	1.0	b21cbd83	11.9	0.99346	0.085
6.7	0.64	0.23	2.1	11	119	0.7	1.0	bee3d687	10.9	0.99538	0.08
8.8	0.955	0.05	1.8	5	19	0.44	1.0	8f34b78a	9.6	0.99616	0.075
9.1	0.4	0.57	4.6	6	20	0.57	1.0	a253273b	12.5	0.99652	0.08
6.5	0.885	0	2.3	6	12	0.51	1.0	b4a88513	10.8	0.99551	0.166
7.2	0.25	0.37	2.5	11	41	0.8	1.0	dd571203	12.4	0.99439	0.063
6.4	0.885	0	2.3	6	12	0.51	1.0	8d1e6267	10.8	0.99551	0.166
7	0.745	0.12	1.8	15	64	0.59	1.0	aba83d12	9.5	0.99588	0.114
6.2	0.43	0.22	1.8	21	56	0.6	1.0	c1d02693	9.5	0.99633	0.078
7.9	0.58	0.23	2.3	23	94	0.58	1.0	6ba43bd2	9.5	0.99686	0.076
7.7	0.57	0.21	1.5	4	9	0.54	1.0	2fa74aba	9.8	0.99458	0.069
7.7	0.26	0.26	2	19	77	0.79	1.0	39b52cc3	10.9	0.9951	0.052
7.9	0.58	0.23	2.3	23	94	0.58	1.0	b36b010c	9.5	0.99686	0.076
7.7	0.57	0.21	1.5	4	9	0.54	1.0	833f19ff	9.8	0.99458	0.069
7.9	0.34	0.36	1.9	5	10	0.54	1.0	d56232df	11.2	0.99419	0.065
8.6	0.42	0.39	1.8	6	12	0.69	1.0	7ed7cc40	11.7	0.99516	0.068
9.9	0.74	0.19	5.8	33	76	0.55	1.0	84bb02a4	9.4	0.99878	0.111
7.2	0.36	0.46	2.1	24	44	0.85	1.0	714d2450	11	0.99534	0.074
7.2	0.36	0.46	2.1	24	44	0.85	1.0	27acc236	11	0.99534	0.074
7.2	0.36	0.46	2.1	24	44	0.85	1.0	14311577	11	0.99534	0.074
9.9	0.72	0.55	1.7	24	52	0.94	1.0	b115b8b9	10	0.99752	0.136
7.2	0.36	0.46	2.1	24	44	0.85	1.0	d1232f98	11	0.99534	0.074
6.2	0.39	0.43	2	14	24	0.87	1.0	f92eed96	11.2	0.99428	0.071
6.8	0.65	0.02	2.1	8	15	0.62	1.0	81362476	10.4	0.99498	0.078
6.6	0.44	0.15	2.1	22	53	0.62	1.0	a195a4af	9.3	0.9957	0.076
6.8	0.65	0.02	2.1	8	15	0.62	1.0	018d9b73	10.4	0.99498	0.078
9.6	0.38	0.42	1.9	5	13	0.75	1.0	1b8dcbf2	10.5	0.99659	0.071
10.2	0.33	0.46	1.9	6	9	0.48	1.0	33d32197	10.4	0.99628	0.081
8.8	0.27	0.46	2.1	20	29	0.56	1.0	7b54a244	11.3	0.99488	0.095
7.9	0.57	0.31	2	10	79	0.69	1.0	a5af79e9	9.5	0.99677	0.079
8.2	0.34	0.37	1.9	43	74	0.81	1.0	cd2fd42c	12	0.99408	0.057
8.2	0.4	0.31	1.9	8	24	0.69	1.0	a9e22cd7	10.6	0.996	0.082
9	0.39	0.4	1.3	25	50	0.83	1.0	54f227ff	10.9	0.99478	0.044
10.9	0.32	0.52	1.8	17	44	0.77	1.0	566fa2be	11.5	0.99734	0.132
10.9	0.32	0.52	1.8	17	44	0.77	1.0	708e54f5	11.5	0.99734	0.132
8.1	0.53	0.22	2.2	33	89	0.46	1.0	958d611d	9.6	0.99678	0.078
10.5	0.36	0.47	2.2	9	23	0.76	1.0	b5573ee4	12	0.99638	0.074
12.6	0.39	0.49	2.5	8	20	0.82	1.0	7a14cc8f	10.3	0.9992	0.08
9.2	0.46	0.23	2.6	18	77	0.51	1.0	8c62ac59	9.4	0.99922	0.091
7.5	0.58	0.03	4.1	27	46	0.47	1.0	a89fd33c	9.2	0.99592	0.08
9	0.58	0.25	2	8	21	0.72	1.0	ef35d9da	9.6	0.99769	0.104
5.1	0.42	0	1.8	18	88	0.73	1.0	2d408c41	13.6	0.99157	0.044
7.6	0.43	0.29	2.1	19	66	0.64	1.0	69ce0a8a	9.5	0.99718	0.075
7.7	0.18	0.34	2.7	15	58	0.78	1.0	3ad5ba9d	11.8	0.9947	0.066
7.8	0.815	0.01	2.6	48	90	0.62	1.0	3ce8826d	10.8	0.99621	0.074
7.6	0.43	0.29	2.1	19	66	0.64	1.0	b5780141	9.5	0.99718	0.075
10.2	0.23	0.37	2.2	14	36	0.49	1.0	519616b9	9.3	0.99614	0.057
7.1	0.75	0.01	2.2	11	18	0.4	1.0	0de02643	12.8	0.99242	0.059
6	0.33	0.32	12.9	6	113	0.56	1.0	2d3bf061	11.5	0.99572	0.054
7.8	0.55	0	1.7	7	17	0.64	1.0	b0617928	9.4	0.99659	0.07
7.1	0.75	0.01	2.2	11	18	0.4	1.0	5a461c51	12.8	0.99242	0.059
8.1	0.73	0	2.5	12	24	0.46	1.0	5520644f	9.6	0.99798	0.081
6.5	0.67	0	4.3	11	20	0.56	1.0	bc909065	11.8	0.99488	0.057
7.5	0.61	0.2	1.7	36	60	0.4	1.0	d03a965c	9.3	0.99494	0.076
9.8	0.37	0.39	2.5	28	65	0.59	1.0	12693046	9.8	0.99729	0.079
9	0.4	0.41	2	15	40	0.6	1.0	1997c8f7	12.2	0.99414	0.058
8.3	0.56	0.22	2.4	10	86	0.62	1.0	eb9782a7	9.5	0.9983	0.082
5.9	0.29	0.25	13.4	72	160	0.54	1.0	40d4bad2	10.3	0.99721	0.067
7.4	0.55	0.19	1.8	15	34	0.68	1.0	194475ec	10.5	0.99655	0.082
7.4	0.74	0.07	1.7	15	48	0.48	1.0	e307eb72	10	0.99502	0.086
7.4	0.55	0.19	1.8	15	34	0.68	1.0	976c8fb5	10.5	0.99655	0.082
6.9	0.41	0.33	2.2	22	36	0.75	1.0	a57ffed3	11.1	0.9949	0.081
7.1	0.6	0.01	2.3	24	37	0.61	1.0	0a790ff8	10.9	0.99514	0.079
7.1	0.6	0.01	2.3	24	37	0.61	1.0	18eb55e9	10.9	0.99514	0.079
7.5	0.58	0.14	2.2	27	60	0.59	1.0	368b5b2b	9.8	0.9963	0.077
7.1	0.72	0	1.8	6	14	0.58	1.0	4e9bd5be	9.8	0.99627	0.123
7.9	0.66	0	1.4	6	13	0.58	1.0	fe876ebd	9.5	0.99569	0.096
7.8	0.7	0.06	1.9	20	35	0.69	1.0	e4375727	10.9	0.99628	0.079
6.1	0.64	0.02	2.4	26	46	0.45	1.0	ee12a421	11	0.99358	0.069
7.5	0.59	0.22	1.8	43	60	0.42	1.0	450a6f03	9.2	0.99499	0.082
7	0.58	0.28	4.8	12	69	0.7	1.0	edf69e8e	11	0.99633	0.085
6.8	0.64	0	2.7	15	33	0.63	1.0	91ba754e	11.3	0.99538	0.123
6.8	0.64	0	2.7	15	33	0.63	1.0	4b7af866	11.3	0.99538	0.123
8.6	0.635	0.68	1.8	19	56	1.15	1.0	fe3076ab	9.3	0.99632	0.403
6.3	1.02	0	2	17	24	0.55	1.0	abf57e2b	11.2	0.99437	0.083
9.8	0.45	0.38	2.5	34	66	0.58	1.0	4b61c000	9.8	0.99726	0.081
8.2	0.78	0	2.2	13	26	0.46	1.0	acb71250	9.6	0.9978	0.089
8.5	0.37	0.32	1.8	26	51	0.72	1.0	388d9400	11.8	0.99456	0.066
7.2	0.57	0.05	2.3	16	36	0.6	1.0	12b22e84	10.3	0.99564	0.081
7.2	0.57	0.05	2.3	16	36	0.6	1.0	5f275b72	10.3	0.99564	0.081
10.4	0.43	0.5	2.3	13	19	0.87	1.0	1d51eada	11.4	0.996	0.068
6.9	0.41	0.31	2	21	51	0.55	1.0	d959dc13	9.5	0.99668	0.079
5.5	0.49	0.03	1.8	28	87	0.82	1.0	f63c4427	14	0.9908	0.044
5	0.38	0.01	1.6	26	60	0.75	1.0	e2ceda76	14	0.99084	0.048
7.3	0.44	0.2	1.6	24	64	0.57	1.0	5fb6b4cb	11.7	0.9935	0.049
5.9	0.46	0	1.9	25	44	0.53	1.0	b0d4600e	11.2	0.99385	0.077
7.5	0.58	0.2	2	34	44	0.43	1.0	d63eec62	9.3	0.99494	0.073
7.8	0.58	0.13	2.1	17	36	0.53	1.0	fcc162fb	11.2	0.9944	0.102
8	0.715	0.22	2.3	13	81	0.54	1.0	dbb22080	9.5	0.99688	0.075
8.5	0.4	0.4	6.3	3	10	0.56	1.0	f554df0c	12	0.99566	0.05
7	0.69	0	1.9	3	10	0.6	1.0	f58f0ec5	9.7	0.99636	0.114
8	0.715	0.22	2.3	13	81	0.54	1.0	b3e42cc4	9.5	0.99688	0.075
9.8	0.3	0.39	1.7	3	9	0.57	1.0	fcf8af37	11.5	0.9948	0.062
7.1	0.46	0.2	1.9	28	54	0.64	1.0	ba9a305b	10.4	0.9956	0.077
7.1	0.46	0.2	1.9	28	54	0.64	1.0	c4cbe51b	10.4	0.9956	0.077
7.9	0.765	0	2	9	22	0.68	1.0	656695c6	10.9	0.99619	0.084
8.7	0.63	0.28	2.7	17	69	0.63	1.0	e15cca40	10.2	0.99734	0.096
7	0.42	0.19	2.3	18	36	0.56	1.0	55194591	10.9	0.99476	0.071
11.3	0.37	0.5	1.8	20	47	0.57	1.0	dad59f4c	10.5	0.99734	0.09
7.1	0.16	0.44	2.5	17	31	0.54	1.0	cc949776	12.4	0.99328	0.068
8	0.6	0.08	2.6	3	7	0.37	1.0	44960636	13	0.99286	0.056
7	0.6	0.3	4.5	20	110	1.17	1.0	57b33476	10.2	0.99914	0.068
7	0.6	0.3	4.5	20	110	1.17	1.0	53ca6e3e	10.2	0.99914	0.068
7.6	0.74	0	1.9	6	12	0.59	1.0	78804620	11	0.99521	0.1
8.2	0.635	0.1	2.1	25	60	0.75	1.0	cdd16450	10.9	0.99638	0.073
5.9	0.395	0.13	2.4	14	28	0.67	1.0	98d62f2b	12.4	0.99362	0.056
7.5	0.755	0	1.9	6	12	0.49	1.0	8f37a641	9.7	0.99672	0.084
8.2	0.635	0.1	2.1	25	60	0.75	1.0	438ec34f	10.9	0.99638	0.073
6.6	0.63	0	4.3	51	77.5	0.45	1.0	40890231	9.5	0.99558	0.093
6.6	0.63	0	4.3	51	77.5	0.45	1.0	bd4f2328	9.5	0.99558	0.093
7.2	0.53	0.14	2.1	15	29	0.61	1.0	9442d687	12.1	0.99323	0.064
5.7	0.6	0	1.4	11	18	0.56	1.0	cc63e337	12.2	0.99191	0.063
7.6	1.58	0	2.1	5	9	0.4	1.0	2cab547e	10.9	0.99476	0.137
5.2	0.645	0	2.15	15	28	0.61	1.0	3ccf2942	12.5	0.99444	0.08
6.7	0.86	0.07	2	20	57	0.74	1.0	a16a8ce9	11.7	0.99598	0.1
9.1	0.37	0.32	2.1	4	15	0.8	1.0	2d41d119	11.2	0.99576	0.064
8	0.28	0.44	1.8	28	68	0.66	1.0	33a3f74a	11.2	0.99501	0.081
7.6	0.79	0.21	2.3	21	68	0.44	1.0	60748bf9	9.2	0.9955	0.087
7.5	0.61	0.26	1.9	24	88	0.53	1.0	7f1911e5	9.8	0.99612	0.073
9.7	0.69	0.32	2.5	22	91	0.62	1.0	c4abe609	10.1	0.9979	0.088
6.8	0.68	0.09	3.9	15	29	0.52	1.0	384e2447	11.1	0.99524	0.068
9.7	0.69	0.32	2.5	22	91	0.62	1.0	0b333223	10.1	0.9979	0.088
7	0.62	0.1	1.4	27	63	0.61	1.0	24d6bc23	9.2	0.996	0.071
7.5	0.61	0.26	1.9	24	88	0.53	1.0	1c6a58a8	9.8	0.99612	0.073
6.5	0.51	0.15	3	12	27	0.59	1.0	f5ff50ff	12.8	0.9929	0.064
8	1.18	0.21	1.9	14	41	0.47	1.0	aa08b8a5	10.5	0.99532	0.083
7	0.36	0.21	2.3	20	65	0.54	1.0	e2333eb4	10.1	0.99558	0.086
7	0.36	0.21	2.4	24	69	0.53	1.0	eb32ad41	10.1	0.99556	0.086
7.5	0.63	0.27	2	17	91	0.58	1.0	ff86511b	9.8	0.99616	0.083
5.4	0.74	0	1.2	16	46	0.59	1.0	b57e9738	12.5	0.99258	0.041
9.9	0.44	0.46	2.2	10	41	0.69	1.0	db4fb3ce	11.9	0.99638	0.091
7.5	0.63	0.27	2	17	91	0.58	1.0	3ffd8d41	9.8	0.99616	0.083
9.1	0.76	0.68	1.7	18	64	1.33	1.0	0b9faad9	9.1	0.99652	0.414
9.7	0.66	0.34	2.6	12	88	0.66	1.0	c1d00e53	10.1	0.99796	0.094
5	0.74	0	1.2	16	46	0.59	1.0	81844929	12.5	0.99258	0.041
9.1	0.34	0.42	1.8	9	18	0.55	1.0	5b0e87d2	11.4	0.99392	0.058
9.1	0.36	0.39	1.8	21	55	0.82	1.0	f518c333	11	0.99495	0.06
6.7	0.46	0.24	1.7	18	34	0.6	1.0	0c79bc9a	10.6	0.9948	0.077
6.7	0.46	0.24	1.7	18	34	0.6	1.0	56a6795b	10.6	0.9948	0.077
6.7	0.46	0.24	1.7	18	34	0.6	1.0	3a0bc94b	10.6	0.9948	0.077
6.7	0.46	0.24	1.7	18	34	0.6	1.0	715a6091	10.6	0.9948	0.077
6.5	0.52	0.11	1.8	13	38	0.52	1.0	1094bac8	9.3	0.9955	0.073
7.4	0.6	0.26	2.1	17	91	0.56	1.0	efa8a332	9.8	0.99616	0.083
7.4	0.6	0.26	2.1	17	91	0.56	1.0	4163bb6b	9.8	0.99616	0.083
7.8	0.87	0.26	3.8	31	67	0.46	1.0	f4c2d029	9.2	0.99668	0.107
8.4	0.39	0.1	1.7	6	25	0.43	1.0	0d7924f6	9.7	0.99581	0.075
9.1	0.775	0.22	2.2	12	48	0.51	1.0	eaab0fe5	9.6	0.9976	0.079
7.2	0.835	0	2	4	11	0.52	1.0	3c123d92	10	0.99608	0.166
6.6	0.58	0.02	2.4	19	40	0.66	1.0	f6f6f929	12.6	0.99387	0.069
6	0.5	0	1.4	15	26	0.45	1.0	141ba22f	9.5	0.99448	0.057
6	0.5	0	1.4	15	26	0.45	1.0	e3445d1b	9.5	0.99448	0.057
6	0.5	0	1.4	15	26	0.45	1.0	ce9c07d3	9.5	0.99448	0.057
7.5	0.51	0.02	1.7	13	31	0.54	1.0	db8e77b6	10.5	0.99538	0.084
7.5	0.51	0.02	1.7	13	31	0.54	1.0	0c79898e	10.5	0.99538	0.084
7.5	0.51	0.02	1.7	13	31	0.54	1.0	c35906af	10.5	0.99538	0.084
7.6	0.54	0.02	1.7	17	31	0.51	1.0	64425dfd	10.4	0.99589	0.085
7.5	0.51	0.02	1.7	13	31	0.54	1.0	818fe1e5	10.5	0.99538	0.084
11.5	0.42	0.48	2.6	8	20	0.53	1.0	9df36eb3	11	0.99852	0.077
8.2	0.44	0.24	2.3	10	28	0.53	1.0	c369c3d5	10.2	0.99613	0.063
6.1	0.59	0.01	2.1	5	13	0.56	1.0	b74f78e2	11.4	0.99472	0.056
7.2	0.655	0.03	1.8	7	12	0.39	1.0	f971bf51	9.5	0.99587	0.078
7.2	0.655	0.03	1.8	7	12	0.39	1.0	0e5b8c83	9.5	0.99587	0.078
6.9	0.57	0	2.8	21	41	0.52	1.0	fe841079	10.8	0.99518	0.081
9	0.6	0.29	2	32	73	0.57	1.0	1438a7f6	10	0.99654	0.069
7.2	0.62	0.01	2.3	8	46	0.51	1.0	1fd645ba	11.8	0.99332	0.065
7.6	0.645	0.03	1.9	14	57	0.46	1.0	fc073b0d	10.3	0.9969	0.086
7.6	0.645	0.03	1.9	14	57	0.46	1.0	31cec546	10.3	0.9969	0.086
7.2	0.58	0.03	2.3	7	28	0.52	1.0	cc238253	10	0.99568	0.077
6.1	0.32	0.25	1.8	5	32	0.44	1.0	83ed0309	10.1	0.99464	0.086
6.1	0.34	0.25	1.8	4	28	0.44	1.0	93dacc60	10.1	0.99464	0.084
7.3	0.43	0.24	2.5	27	67	0.59	1.0	f1723610	11.1	0.99648	0.078
7.4	0.64	0.17	5.4	52	98	0.5	1.0	0ad7d380	9.5	0.99736	0.168
11.6	0.475	0.4	1.4	6	28	0.65	1.0	5ba5268a	10.0333333333333	0.99704	0.091
9.2	0.54	0.31	2.3	11	38	0.56	1.0	c71e2d37	10.9	0.99699	0.112
8.3	0.85	0.14	2.5	13	54	0.54	1.0	79b860e7	10.1	0.99724	0.093
11.6	0.475	0.4	1.4	6	28	0.65	1.0	11341929	10.0333333333333	0.99704	0.091
8	0.83	0.27	2	11	63	0.48	1.0	4a752394	9.8	0.99652	0.08
7.2	0.605	0.02	1.9	10	31	0.53	1.0	767882c5	11.8	0.995	0.096
7.8	0.5	0.09	2.2	10	42	0.62	1.0	d067dd40	9.5	0.9971	0.115
7.3	0.74	0.08	1.7	10	45	0.5	1.0	f04a3c3e	9.8	0.99576	0.094
6.9	0.54	0.3	2.2	9	105	1.18	1.0	b1e2958c	10.5	0.99725	0.088
8	0.77	0.32	2.1	16	74	0.5	1.0	2bac29a7	9.8	0.99656	0.079
6.6	0.61	0	1.6	4	8	0.37	1.0	75f3e8dd	10.4	0.99396	0.069
8.7	0.78	0.51	1.7	12	66	1.17	1.0	cc50a012	9.2	0.99623	0.415
7.5	0.58	0.56	3.1	5	14	1.03	1.0	3edc176f	11.6	0.99476	0.153
8.7	0.78	0.51	1.7	12	66	1.17	1.0	a996977b	9.2	0.99623	0.415
7.7	0.75	0.27	3.8	34	89	0.45	1.0	85c9dea7	9.3	0.99664	0.11
6.8	0.815	0	1.2	16	29	0.51	1.0	5ce9bd28	9.8	0.99471	0.267
7.2	0.56	0.26	2	13	100	0.52	1.0	7f0a4c7a	9.9	0.99586	0.083
8.2	0.885	0.2	1.4	7	31	0.46	1.0	9c2f3b81	10	0.9946	0.086
5.2	0.49	0.26	2.3	23	74	0.62	1.0	6f7936b4	12.2	0.9953	0.09
7.2	0.45	0.15	2	10	28	0.51	1.0	cbf407bd	9.9	0.99609	0.078
7.5	0.57	0.02	2.6	11	35	0.62	1.0	d71e60ac	10.8	0.99557	0.077
7.5	0.57	0.02	2.6	11	35	0.62	1.0	f3d86869	10.8	0.99557	0.077
6.8	0.83	0.09	1.8	4	25	0.45	1.0	50bfe1c8	9.6	0.99534	0.074
8	0.6	0.22	2.1	25	105	0.49	1.0	aa897806	9.9	0.99613	0.08
8	0.6	0.22	2.1	25	105	0.49	1.0	c6245bc6	9.9	0.99613	0.08
7.1	0.755	0.15	1.8	20	84	0.5	1.0	73463aa9	9.5	0.99593	0.107
8	0.81	0.25	3.4	34	85	0.42	1.0	cd491aaa	9.2	0.99668	0.076
7.4	0.64	0.07	1.8	8	23	0.58	1.0	7d4bf076	9.6	0.9961	0.1
7.4	0.64	0.07	1.8	8	23	0.58	1.0	980c52ab	9.6	0.9961	0.1
6.6	0.64	0.31	6.1	7	49	0.68	1.0	dc0ec186	10.3	0.99718	0.083
6.7	0.48	0.02	2.2	36	111	0.53	1.0	b9a97132	9.7	0.99524	0.08
6	0.49	0	2.3	15	33	0.59	1.0	edd3d6e6	12.5	0.99292	0.068
8	0.64	0.22	2.4	5	33	0.58	1.0	4dbf665d	11	0.99612	0.094
7.1	0.62	0.06	1.3	5	12	0.48	1.0	dbe98092	9.8	0.9942	0.07
8	0.52	0.25	2	19	59	0.48	1.0	402e4def	10.2	0.99612	0.078
6.4	0.57	0.14	3.9	27	73	0.48	1.0	e82a8425	9.2	0.99669	0.07
8.6	0.685	0.1	1.6	3	12	0.65	1.0	e31c9769	9.55	0.99745	0.092
8.7	0.675	0.1	1.6	4	11	0.65	1.0	59c3d1a3	9.55	0.99745	0.09
7.3	0.59	0.26	2	17	104	0.52	1.0	7feb7108	9.9	0.99584	0.08
7	0.6	0.12	2.2	13	28	0.62	1.0	b322f32c	10.2	0.9966	0.083
7.2	0.67	0	2.2	10	24	0.72	1.0	5d5bd200	11.1	0.9956	0.068
7.9	0.69	0.21	2.1	33	141	0.51	1.0	24e28283	9.9	0.9962	0.08
7.9	0.69	0.21	2.1	33	141	0.51	1.0	a08d94e7	9.9	0.9962	0.08
7.6	0.3	0.42	2	6	24	0.82	1.0	7f364d98	11.9	0.9963	0.052
7.2	0.33	0.33	1.7	3	13	1.1	1.0	d26a353f	10	0.996	0.061
8	0.5	0.39	2.6	12	46	0.62	1.0	1d997cc4	10.7	0.9985	0.082
7.7	0.28	0.3	2	18	34	0.9	1.0	5e636b2f	11.3	0.9952	0.062
8.2	0.24	0.34	5.1	8	22	0.94	1.0	166aae4e	10.9	0.9974	0.062
6	0.51	0	2.1	40	54	0.93	1.0	c4f7e4e7	10.7	0.995	0.064
8.1	0.29	0.36	2.2	35	53	1.01	1.0	22d42cd6	12.4	0.995	0.048
6	0.51	0	2.1	40	54	0.93	1.0	dd37b5f2	10.7	0.995	0.064
6.6	0.96	0	1.8	5	16	0.44	1.0	c0d25e91	11.9	0.9936	0.082
6.4	0.47	0.4	2.4	8	19	0.73	1.0	b2e13f59	10.6	0.9963	0.071
8.2	0.24	0.34	5.1	8	22	0.94	1.0	6236e28a	10.9	0.9974	0.062
9.9	0.57	0.25	2	12	89	0.9	1.0	b5edfd56	10.1	0.9963	0.104
10	0.32	0.59	2.2	3	15	0.78	1.0	b4744986	9.6	0.9994	0.077
6.2	0.58	0	1.6	8	18	0.84	1.0	ab5bc563	9.4	0.9966	0.065
10	0.32	0.59	2.2	3	15	0.78	1.0	e137ae29	9.6	0.9994	0.077
7.3	0.34	0.33	2.5	21	37	0.77	1.0	32db91ff	12.1	0.9952	0.064
7.8	0.53	0.01	1.6	3	19	0.46	1.0	2ce948f4	9.8	0.995	0.077
7.7	0.64	0.21	2.2	32	133	0.45	1.0	48208b70	9.9	0.9956	0.077
7.8	0.53	0.01	1.6	3	19	0.46	1.0	26cc6be6	9.8	0.995	0.077
7.5	0.4	0.18	1.6	24	58	0.58	1.0	ca68f698	9.4	0.9965	0.079
7	0.54	0	2.1	39	55	0.84	1.0	12979f76	11.4	0.9956	0.079
6.4	0.53	0.09	3.9	14	31	0.67	1.0	c6fbc2c2	11	0.9968	0.123
8.3	0.26	0.37	1.4	8	23	0.7	1.0	296d8d8e	9.6	0.9974	0.076
8.3	0.26	0.37	1.4	8	23	0.7	1.0	f122a65f	9.6	0.9974	0.076
7.7	0.23	0.37	1.8	23	60	0.71	1.0	c04a896f	12.1	0.9971	0.046
7.6	0.41	0.33	2.5	6	23	0.58	1.0	491a005e	11.2	0.9957	0.078
7.8	0.64	0	1.9	27	55	0.63	1.0	68592faf	11	0.9962	0.072
7.9	0.18	0.4	2.2	38	67	0.93	1.0	7e29649f	11.3	0.996	0.049
7.4	0.41	0.24	1.8	18	47	0.62	1.0	ed01e264	10.4	0.9956	0.066
7.6	0.43	0.31	2.1	13	74	0.54	1.0	a4462a30	9.9	0.9958	0.069
5.9	0.44	0	1.6	3	11	0.85	1.0	cea470bf	11.7	0.9944	0.042
6.1	0.4	0.16	1.8	11	25	0.74	1.0	dfa56755	10.1	0.9955	0.069
10.2	0.54	0.37	15.4	55	95	0.77	1.0	14056c16	9	1.00369	0.214
10.2	0.54	0.37	15.4	55	95	0.77	1.0	ab1cc6a9	9	1.00369	0.214
10	0.38	0.38	1.6	27	90	0.65	1.0	59398b78	8.5	0.99914	0.169
6.8	0.915	0.29	4.8	15	39	0.54	1.0	c021a051	11.1	0.99577	0.07
7	0.59	0	1.7	3	8	0.47	1.0	29bff1dc	10.3	0.996	0.052
7.3	0.67	0.02	2.2	31	92	0.68	1.0	0d8b10a4	11.0666666666667	0.99566	0.072
7.2	0.37	0.32	2	15	28	0.73	1.0	6bb4c1a6	11.3	0.9947	0.062
7.4	0.785	0.19	5.2	19	98	0.52	1.0	a23eb4c2	9.56666666666667	0.99713	0.094
6.9	0.63	0.02	1.9	18	30	0.75	1.0	65e4251a	9.8	0.99712	0.078
6.9	0.58	0.2	1.75	8	22	0.49	1.0	59fcbd46	11.7	0.99322	0.058
7.3	0.67	0.02	2.2	31	92	0.68	1.0	8e3ad244	11.1	0.99566	0.072
7.4	0.785	0.19	5.2	19	98	0.52	1.0	fdcad8c8	9.6	0.99713	0.094
6.9	0.63	0.02	1.9	18	30	0.75	1.0	b081b9c3	9.8	0.99712	0.078
6.8	0.67	0	1.9	22	39	0.74	1.0	369609fd	9.7	0.99701	0.08
6.9	0.58	0.01	1.9	40	54	0.73	1.0	000e15be	9.7	0.99683	0.08
7.2	0.38	0.31	2	15	29	0.76	1.0	8d84d49a	11.3	0.99472	0.056
7.2	0.37	0.32	2	15	28	0.73	1.0	307b6eb1	11.3	0.9947	0.062
7.8	0.32	0.44	2.7	8	17	0.78	1.0	bb5b77f0	11	0.99732	0.104
6.6	0.58	0.02	2	37	53	0.76	1.0	014b8866	11.6	0.99374	0.062
7.6	0.49	0.33	1.9	27	85	0.58	1.0	9dc8c4eb	9	0.99706	0.074
11.7	0.45	0.63	2.2	7	23	0.69	1.0	f02703e7	10.9	0.99974	0.073
6.5	0.9	0	1.6	9	17	0.63	1.0	cb947688	10.9	0.99467	0.052
6	0.54	0.06	1.8	38	89	0.5	1.0	8da689d5	10.55	0.99236	0.05
7.6	0.49	0.33	1.9	27	85	0.58	1.0	82421c8f	9	0.99706	0.074
8.4	0.29	0.4	1.7	8	20	0.6	1.0	48d01b68	10.5	0.99603	0.067
7.9	0.2	0.35	1.7	7	15	0.8	1.0	caad7ef0	11.9	0.99458	0.054
6.4	0.42	0.09	2.3	34	64	0.68	1.0	54cedd19	10.4	0.99724	0.054
6.2	0.785	0	2.1	6	13	0.61	1.0	89f3ca66	10	0.99664	0.06
6.8	0.64	0.03	2.3	14	31	0.58	1.0	5fd7e437	10.4	0.99545	0.075
6.9	0.63	0.01	2.4	14	39	0.53	1.0	353965f8	10.8	0.99522	0.076
6.8	0.59	0.1	1.7	34	53	0.67	1.0	fb2f402e	9.7	0.9958	0.063
6.8	0.59	0.1	1.7	34	53	0.67	1.0	279427c1	9.7	0.9958	0.063
7.3	0.48	0.32	2.1	31	54	0.65	1.0	234eded3	10	0.99728	0.062
6.7	1.04	0.08	2.3	19	32	0.57	1.0	8489e283	11	0.99648	0.067
7.3	0.48	0.32	2.1	31	54	0.65	1.0	8f80d00c	10	0.99728	0.062
7.3	0.98	0.05	2.1	20	49	0.55	1.0	ac7f2888	9.7	0.99705	0.061
10	0.69	0.11	1.4	8	24	0.47	1.0	4ef68eba	9.7	0.99578	0.084
6.7	0.7	0.08	3.75	8	16	0.52	1.0	25c4ecf5	12.6	0.99334	0.067
7.6	0.35	0.6	2.6	23	44	0.79	1.0	19bf6d32	11.1	0.99656	0.073
6.1	0.6	0.08	1.8	14	45	0.54	1.0	ac081448	11	0.99336	0.071
9.9	0.5	0.5	13.8	48	82	0.75	1.0	1be397ff	8.8	1.00242	0.205
5.3	0.47	0.11	2.2	16	89	0.88	1.0	8e338810	13.5666666666667	0.99182	0.048
9.9	0.5	0.5	13.8	48	82	0.75	1.0	c1e0e5a4	8.8	1.00242	0.205
5.3	0.47	0.11	2.2	16	89	0.88	1.0	ee7c777c	13.6	0.99182	0.048
7.1	0.875	0.05	5.7	3	14	0.52	1.0	ebe04a5e	10.2	0.99808	0.082
8.2	0.28	0.6	3	10	22	0.68	1.0	4e3b6935	10.6	0.99828	0.104
5.6	0.62	0.03	1.5	6	13	0.62	1.0	4bcd9adc	10.1	0.99498	0.08
8.2	0.28	0.6	3	10	22	0.68	1.0	791f1469	10.6	0.99828	0.104
7.2	0.58	0.54	2.1	3	9	0.57	1.0	51e42661	10.3	0.99719	0.114
8.1	0.33	0.44	1.5	6	12	0.61	1.0	12c9ce08	10.7	0.99542	0.042
6.8	0.91	0.06	2	4	11	0.64	1.0	7f497977	10.9	0.99592	0.06
7	0.655	0.16	2.1	8	25	0.55	1.0	0c6c6c93	9.7	0.99606	0.074
6.8	0.68	0.21	2.1	9	23	0.6	1.0	0146aeed	10.3	0.99546	0.07
6	0.64	0.05	1.9	9	17	0.78	1.0	7110ae8a	10.6	0.99496	0.066
5.6	0.54	0.04	1.7	5	13	0.58	1.0	f175a170	11.4	0.9942	0.049
6.2	0.57	0.1	2.1	4	11	0.76	1.0	90fa5939	10.8	0.99448	0.048
7.1	0.22	0.49	1.8	8	18	0.56	1.0	afb30bae	12.4	0.99344	0.039
5.6	0.54	0.04	1.7	5	13	0.58	1.0	bfb3022d	11.4	0.9942	0.049
6.2	0.65	0.06	1.6	6	18	0.54	1.0	6436e90c	11.95	0.99348	0.05
7.7	0.54	0.26	1.9	23	147	0.59	1.0	9627eee8	9.7	0.99636	0.089
6.4	0.31	0.09	1.4	15	28	0.7	1.0	c1358ada	10	0.99459	0.066
7	0.43	0.02	1.9	15	28	0.81	1.0	7a977ff3	10.6	0.99492	0.08
7.7	0.54	0.26	1.9	23	147	0.59	1.0	efa63f4b	9.7	0.99636	0.089
6.9	0.74	0.03	2.3	7	16	0.63	1.0	6ed81ad0	11.5	0.99508	0.054
6.6	0.895	0.04	2.3	7	13	0.58	1.0	731e9eb8	10.8	0.99582	0.068
6.9	0.74	0.03	2.3	7	16	0.63	1.0	d60e5b18	11.5	0.99508	0.054
7.5	0.725	0.04	1.5	8	15	0.53	1.0	53c6ef97	9.6	0.99508	0.076
7.8	0.82	0.29	4.3	21	64	0.53	1.0	f6271307	9.4	0.99642	0.083
7.3	0.585	0.18	2.4	15	60	0.54	1.0	046bfbfc	9.8	0.99638	0.078
6.2	0.44	0.39	2.5	6	14	0.69	1.0	f02b0136	11	0.99555	0.077
7.5	0.38	0.57	2.3	5	12	0.55	1.0	51aa2f10	11.4	0.99605	0.106
6.7	0.76	0.02	1.8	6	12	0.63	1.0	515aa27e	9.95	0.996	0.078
6.8	0.81	0.05	2	6	14	0.66	1.0	9eacc162	10.8	0.99562	0.07
7.5	0.38	0.57	2.3	5	12	0.55	1.0	76661cff	11.4	0.99605	0.106
7.1	0.27	0.6	2.1	17	25	0.72	1.0	b60b422c	10.6	0.99814	0.074
7.9	0.18	0.4	1.8	7	20	0.7	1.0	74f9b0f6	11.1	0.9941	0.062
6.4	0.36	0.21	2.2	26	48	0.77	1.0	9ecf6fd5	9.7	0.99661	0.047
7.1	0.69	0.04	2.1	19	27	0.67	1.0	ac24d2bc	9.8	0.99712	0.068
6.4	0.79	0.04	2.2	11	17	0.65	1.0	a446b2cc	10.4	0.99588	0.061
6.4	0.56	0.15	1.8	17	65	0.6	1.0	668a0c72	10.5	0.99294	0.078
6.9	0.84	0.21	4.1	16	65	0.72	1.0	a7c53cbd	9.23333333333333	0.99842	0.074
6.9	0.84	0.21	4.1	16	65	0.72	1.0	16a01aa3	9.25	0.99842	0.074
6.1	0.32	0.25	2.3	23	58	0.97	1.0	16ec80ca	10.6	0.99633	0.071
6.5	0.53	0.06	2	29	44	0.83	1.0	873e9197	10.3	0.99489	0.063
7.4	0.47	0.46	2.2	7	20	0.63	1.0	a0e2cee3	10.5	0.99647	0.114
6.6	0.7	0.08	2.6	14	27	0.58	1.0	ea46c03b	10.2	0.99665	0.106
6.5	0.53	0.06	2	29	44	0.83	1.0	28b37fc3	10.3	0.99489	0.063
6.9	0.48	0.2	1.9	9	23	0.43	1.0	071c3623	9.05	0.99585	0.082
6.1	0.32	0.25	2.3	23	58	0.97	1.0	f66dc569	10.6	0.99633	0.071
6.8	0.48	0.25	2	29	61	0.6	1.0	0c5feb2b	10.4	0.9953	0.076
6	0.42	0.19	2	22	47	0.78	1.0	510aba58	10	0.99522	0.075
6.7	0.48	0.08	2.1	18	34	0.64	1.0	31d877e6	9.7	0.99552	0.064
6.8	0.47	0.08	2.2	18	38	0.65	1.0	e2a18f52	9.6	0.99553	0.064
7.1	0.53	0.07	1.7	15	24	0.66	1.0	f7ec6d0f	10.8	0.9951	0.071
7.9	0.29	0.49	2.2	21	59	0.67	1.0	38e1bc84	10.1	0.99714	0.096
7.1	0.69	0.08	2.1	42	52	0.6	1.0	8a2ab803	10.2	0.99608	0.063
6.6	0.44	0.09	2.2	9	18	0.69	1.0	400aeaea	11.3	0.99444	0.063
6.1	0.705	0.1	2.8	13	28	0.66	1.0	ff1ef9e3	10.2	0.99631	0.081
7.2	0.53	0.13	2	18	22	0.68	1.0	1ee1106a	9.9	0.99573	0.058
8	0.39	0.3	1.9	32	84	0.61	1.0	e4df3185	9	0.99717	0.074
6.6	0.56	0.14	2.4	13	29	0.62	1.0	f82e6b68	11.7	0.99397	0.064
7	0.55	0.13	2.2	15	35	0.59	1.0	1412517d	9.7	0.9959	0.075
6.1	0.53	0.08	1.9	24	45	0.68	1.0	1f0078e4	10.3	0.99528	0.077
5.4	0.58	0.08	1.9	20	31	0.64	1.0	35f50ef9	10.2	0.99484	0.059
6.2	0.64	0.09	2.5	15	26	0.63	1.0	7d49f4f4	12	0.99538	0.081
7.2	0.39	0.32	1.8	34	60	0.78	1.0	8dd6b2e7	9.9	0.99714	0.065
6.2	0.52	0.08	4.4	11	32	0.63	1.0	2a15bb0c	11.6	0.99646	0.071
7.4	0.25	0.29	2.2	19	49	0.76	1.0	987c99ea	10.9	0.99666	0.054
6.7	0.855	0.02	1.9	29	38	0.56	1.0	5cead70d	10.75	0.99472	0.064
11.1	0.44	0.42	2.2	14	19	0.57	1.0	608e3cb7	10.4	0.99758	0.064
8.4	0.37	0.43	2.3	12	19	0.81	1.0	00c9e7f5	11.2	0.9955	0.063
6.5	0.63	0.33	1.8	16	28	0.64	1.0	28abedc1	10.1	0.99531	0.059
7	0.57	0.02	2	17	26	0.61	1.0	fd2e1fa7	10.2	0.99575	0.072
6.3	0.6	0.1	1.6	12	26	0.51	1.0	faad4e88	12.1	0.99306	0.048
11.2	0.4	0.5	2	19	50	0.58	1.0	be8ddd4c	10.4	0.99783	0.099
7.4	0.36	0.3	1.8	17	24	0.7	1.0	5dbd5306	11.4	0.99419	0.074
7.1	0.68	0	2.3	17	26	0.53	1.0	691057c2	9.5	0.99783	0.087
7.1	0.67	0	2.3	18	27	0.54	1.0	6e5f7f6d	9.4	0.99768	0.083
6.3	0.68	0.01	3.7	32	54	0.66	1.0	78bc71bf	11.3	0.99586	0.103
7.3	0.735	0	2.2	18	28	0.6	1.0	9f81bc27	9.4	0.99765	0.08
6.6	0.855	0.02	2.4	15	23	0.6	1.0	a676a861	11	0.99627	0.062
7	0.56	0.17	1.7	15	24	0.68	1.0	072d2568	10.55	0.99514	0.065
6.6	0.88	0.04	2.2	12	20	0.56	1.0	07f5c0b9	9.9	0.99636	0.066
6.6	0.855	0.02	2.4	15	23	0.6	1.0	569c2caa	11	0.99627	0.062
6.9	0.63	0.33	6.7	66	115	0.56	1.0	d5aed082	9.5	0.99787	0.235
7.8	0.6	0.26	2	31	131	0.52	1.0	ce6e7268	9.9	0.99622	0.08
7.8	0.6	0.26	2	31	131	0.52	1.0	fb9f3ddf	9.9	0.99622	0.08
7.8	0.6	0.26	2	31	131	0.52	1.0	7b1b4641	9.9	0.99622	0.08
7.2	0.695	0.13	2	12	20	0.54	1.0	412d10a9	10.1	0.99546	0.076
7.2	0.695	0.13	2	12	20	0.54	1.0	498f0d64	10.1	0.99546	0.076
7.2	0.695	0.13	2	12	20	0.54	1.0	9f4b9ee8	10.1	0.99546	0.076
6.7	0.67	0.02	1.9	26	42	0.82	1.0	9ea09b47	10.9	0.99489	0.061
6.7	0.16	0.64	2.1	24	52	0.71	1.0	2d6e6e90	11.2	0.99494	0.059
7.2	0.695	0.13	2	12	20	0.54	1.0	dfe8c4fe	10.1	0.99546	0.076
7	0.56	0.13	1.6	25	42	0.59	1.0	0ee1d448	9.2	0.99629	0.077
6.2	0.51	0.14	1.9	15	34	0.57	1.0	8947c5b9	11.5	0.99396	0.056
6.4	0.36	0.53	2.2	19	35	0.93	1.0	c53a737a	12.4	0.9934	0.23
6.4	0.38	0.14	2.2	15	25	0.65	1.0	30455288	11.1	0.99514	0.038
7.3	0.69	0.32	2.2	35	104	0.51	1.0	082d1d7a	9.5	0.99632	0.069
6	0.58	0.2	2.4	15	50	0.67	1.0	6fa70ae9	12.5	0.99467	0.075
5.6	0.31	0.78	13.9	23	92	0.48	1.0	c9af8e68	10.5	0.99677	0.074
7.5	0.52	0.4	2.2	12	20	0.64	1.0	7c68faec	11.8	0.99474	0.06
8	0.3	0.63	1.6	16	29	0.78	1.0	d54fa164	10.8	0.99588	0.081
6.2	0.7	0.15	5.1	13	27	0.6	1.0	17b05a16	11.9	0.99622	0.076
6.8	0.67	0.15	1.8	13	20	0.67	1.0	2949479f	11.3	0.9954	0.118
6.2	0.56	0.09	1.7	24	32	0.6	1.0	0621dc98	11.3	0.99402	0.053
7.4	0.35	0.33	2.4	9	26	0.6	1.0	270a6720	11.9	0.9947	0.068
6.2	0.56	0.09	1.7	24	32	0.6	1.0	fbec8a9a	11.3	0.99402	0.053
6.1	0.715	0.1	2.6	13	27	0.5	1.0	caa5dcc9	11.9	0.99362	0.053
6.2	0.46	0.29	2.1	32	98	0.62	1.0	36f5c4b6	9.8	0.99578	0.074
6.7	0.32	0.44	2.4	24	34	0.8	1.0	bbea1a71	11.6	0.99484	0.061
7.2	0.39	0.44	2.6	22	48	0.84	1.0	195c7ecb	11.5	0.99494	0.066
7.5	0.31	0.41	2.4	34	60	0.85	1.0	6acda3e9	11.4	0.99492	0.065
5.8	0.61	0.11	1.8	18	28	0.66	1.0	75af1fbf	10.9	0.99483	0.066
7.2	0.66	0.33	2.5	34	102	0.78	1.0	d6ab2386	12.8	0.99414	0.068
6.6	0.725	0.2	7.8	29	79	0.54	1.0	dd5cc794	9.2	0.9977	0.073
6.3	0.55	0.15	1.8	26	35	0.82	1.0	20317002	11.6	0.99314	0.077
5.4	0.74	0.09	1.7	16	26	0.56	1.0	8b2775c2	11.6	0.99402	0.089
6.3	0.51	0.13	2.3	29	40	0.75	1.0	5552a062	11	0.99574	0.076
6.8	0.62	0.08	1.9	28	38	0.82	1.0	5eb8aa39	9.5	0.99651	0.068
6.2	0.6	0.08	2	32	44	0.58	1.0	3beeff04	10.5	0.9949	0.09
5.9	0.55	0.1	2.2	39	51	0.76	1.0	2a90988e	11.2	0.99512	0.062
6.3	0.51	0.13	2.3	29	40	0.75	1.0	db253bd6	11	0.99574	0.076
5.9	0.645	0.12	2	32	44	0.71	1.0	38ca82c9	10.2	0.99547	0.075
6	0.31	0.47	3.6	18	42	0.66	1.0	fbae1705	11	0.99549	0.067
7	0.27	0.36	20.7	45	170	0.45	0.0	8d4ba14e	8.8	1.001	0.045
6.3	0.3	0.34	1.6	14	132	0.49	0.0	39a97d59	9.5	0.994	0.049
8.1	0.28	0.4	6.9	30	97	0.44	0.0	4a99979e	10.1	0.9951	0.05
7.2	0.23	0.32	8.5	47	186	0.4	0.0	675eb6f8	9.9	0.9956	0.058
7.2	0.23	0.32	8.5	47	186	0.4	0.0	672f1d6e	9.9	0.9956	0.058
8.1	0.28	0.4	6.9	30	97	0.44	0.0	2fc341d9	10.1	0.9951	0.05
6.2	0.32	0.16	7	30	136	0.47	0.0	12977bdf	9.6	0.9949	0.045
7	0.27	0.36	20.7	45	170	0.45	0.0	b0199682	8.8	1.001	0.045
6.3	0.3	0.34	1.6	14	132	0.49	0.0	01390876	9.5	0.994	0.049
8.1	0.22	0.43	1.5	28	129	0.45	0.0	0062e435	11	0.9938	0.044
8.1	0.27	0.41	1.45	11	63	0.56	0.0	bcf45f53	12	0.9908	0.033
8.6	0.23	0.4	4.2	17	109	0.53	0.0	8672e36b	9.7	0.9947	0.035
7.9	0.18	0.37	1.2	16	75	0.63	0.0	56969910	10.8	0.992	0.04
6.6	0.16	0.4	1.5	48	143	0.52	0.0	f8568047	12.4	0.9912	0.044
8.3	0.42	0.62	19.25	41	172	0.67	0.0	f58479bb	9.7	1.0002	0.04
6.6	0.17	0.38	1.5	28	112	0.55	0.0	8eb9990b	11.4	0.9914	0.032
6.3	0.48	0.04	1.1	30	99	0.36	0.0	0d903fe1	9.6	0.9928	0.046
6.2	0.66	0.48	1.2	29	75	0.39	0.0	7c0300f8	12.8	0.9892	0.029
7.4	0.34	0.42	1.1	17	171	0.53	0.0	cc11531a	11.3	0.9917	0.033
6.5	0.31	0.14	7.5	34	133	0.5	0.0	4ffd22d4	9.5	0.9955	0.044
6.2	0.66	0.48	1.2	29	75	0.39	0.0	bfcc6098	12.8	0.9892	0.029
6.4	0.31	0.38	2.9	19	102	0.35	0.0	d6a215c4	11	0.9912	0.038
6.8	0.26	0.42	1.7	41	122	0.48	0.0	28e9ecec	10.5	0.993	0.049
7.6	0.67	0.14	1.5	25	168	0.51	0.0	c36e3e49	9.3	0.9937	0.074
6.6	0.27	0.41	1.3	16	142	0.47	0.0	deaebf76	10	0.9951	0.052
7	0.25	0.32	9	56	245	0.5	0.0	ac7ca87d	10.4	0.9955	0.046
6.9	0.24	0.35	1	35	146	0.44	0.0	04e6cd09	10	0.993	0.052
7	0.28	0.39	8.7	32	141	0.53	0.0	ecd6d256	10.5	0.9961	0.051
7.4	0.27	0.48	1.1	17	132	0.49	0.0	e005515f	11.6	0.9914	0.047
7.2	0.32	0.36	2	37	114	0.71	0.0	6d7f4143	12.3	0.9906	0.033
8.5	0.24	0.39	10.4	20	142	0.53	0.0	473f22db	10	0.9974	0.044
8.3	0.14	0.34	1.1	7	47	0.4	0.0	b909e551	10.2	0.9934	0.042
7.4	0.25	0.36	2.05	31	100	0.44	0.0	ddc77312	10.8	0.992	0.05
6.2	0.12	0.34	1.5	43	117	0.51	0.0	d37a4728	9	0.9939	0.045
5.8	0.27	0.2	14.95	22	179	0.37	0.0	b902f4e3	10.2	0.9962	0.044
7.3	0.28	0.43	1.7	21	123	0.42	0.0	25cfd0de	12.8	0.9905	0.08
6.5	0.39	0.23	5.4	25	149	0.35	0.0	e44e3936	10	0.9934	0.051
7	0.33	0.32	1.2	38	138	0.28	0.0	1dfc944f	11.2	0.9906	0.053
7.3	0.24	0.39	17.95	45	149	0.36	0.0	d566032a	8.6	0.9999	0.057
7.3	0.24	0.39	17.95	45	149	0.36	0.0	52e77949	8.6	0.9999	0.057
6.7	0.23	0.39	2.5	63	158	0.36	0.0	8d474006	9.4	0.9937	0.172
6.7	0.24	0.39	2.9	63	157	0.34	0.0	dfbf9d7b	9.4	0.9937	0.173
7	0.31	0.26	7.4	28	160	0.46	0.0	d3894fd4	9.8	0.9954	0.069
6.6	0.24	0.27	1.4	33	152	0.56	0.0	357efdab	9.5	0.9934	0.057
6.7	0.23	0.26	1.4	33	154	0.56	0.0	a48648d8	9.5	0.9934	0.06
7.4	0.18	0.31	1.4	38	167	0.53	0.0	645ae860	10	0.9931	0.058
6.2	0.45	0.26	4.4	63	206	0.52	0.0	a0538ab7	9.8	0.994	0.063
6.2	0.46	0.25	4.4	62	207	0.52	0.0	7695d9cf	9.8	0.9939	0.066
7	0.31	0.26	7.4	28	160	0.46	0.0	10b180c8	9.8	0.9954	0.069
6.9	0.19	0.35	5	32	150	0.48	0.0	d1de4153	9.8	0.995	0.067
7.2	0.19	0.31	1.6	31	173	0.44	0.0	8155cc80	11.7	0.9917	0.062
6.6	0.25	0.29	1.1	39	124	0.58	0.0	58f55104	11	0.9914	0.068
6.2	0.16	0.33	1.1	21	82	0.46	0.0	04dba8a7	10.9	0.991	0.057
6.4	0.18	0.35	1	39	108	0.35	0.0	dc893d92	10.9	0.9911	0.045
6.8	0.2	0.59	0.9	38	132	0.38	0.0	2139280b	9.1	0.993	0.147
6.9	0.25	0.35	1.3	29	191	0.52	0.0	1bf0edb1	11	0.9908	0.039
7.2	0.21	0.34	11.9	37	213	0.5	0.0	189a217c	9.6	0.9962	0.043
6	0.19	0.26	12.4	50	147	0.36	0.0	3da574c6	8.9	0.9972	0.048
6.6	0.38	0.15	4.6	25	78	0.38	0.0	3c6ba236	10.2	0.9931	0.044
7.4	0.2	0.36	1.2	44	111	0.34	0.0	550d1466	9.9	0.9926	0.038
6.8	0.22	0.24	4.9	30	123	0.46	0.0	4e04c245	8.6	0.9951	0.092
6	0.19	0.26	12.4	50	147	0.36	0.0	3b84e363	8.9	0.9972	0.048
7	0.47	0.07	1.1	17	151	0.34	0.0	e8cabfce	10.5	0.991	0.035
6.6	0.38	0.15	4.6	25	78	0.38	0.0	0b88f1da	10.2	0.9931	0.044
7.2	0.24	0.27	1.4	31	122	0.46	0.0	fc7501bb	10.3	0.9927	0.038
6.2	0.35	0.03	1.2	29	120	0.54	0.0	40f3ff9f	9.1	0.9934	0.064
6.4	0.26	0.24	6.4	27	124	0.49	0.0	e38d5261	12.6	0.9903	0.04
6.7	0.25	0.13	1.2	81	174	0.42	0.0	9fc14e56	9.8	0.992	0.041
6.7	0.23	0.31	2.1	30	96	0.64	0.0	da2256b7	10.7	0.9926	0.046
7.4	0.24	0.29	10.1	21	105	0.35	0.0	ec7b16cf	9.5	0.9962	0.05
6.2	0.27	0.43	7.8	48	244	0.51	0.0	3b142c9d	9	0.9956	0.056
6.8	0.3	0.23	4.6	50.5	238.5	0.6	0.0	7ef28050	9.5	0.9958	0.061
6	0.27	0.28	4.8	31	201	0.71	0.0	5166385f	10	0.9964	0.063
8.6	0.23	0.46	1	9	72	0.49	0.0	b51a1726	9.1	0.9941	0.054
6.7	0.23	0.31	2.1	30	96	0.64	0.0	4d4be56a	10.7	0.9926	0.046
7.4	0.24	0.29	10.1	21	105	0.35	0.0	8fc13edf	9.5	0.9962	0.05
7.1	0.18	0.36	1.4	31	87	0.37	0.0	a3ee9890	12.7	0.9898	0.043
7	0.32	0.34	1.3	20	69	0.65	0.0	4b3067d6	12	0.9912	0.042
7.4	0.18	0.3	8.8	26	103	0.56	0.0	1aaef6c1	9.3	0.9961	0.064
6.7	0.54	0.28	5.4	21	105	0.37	0.0	333e6390	9	0.9949	0.06
6.8	0.22	0.31	1.4	34	114	0.77	0.0	3cf24bad	10.6	0.9929	0.053
7.1	0.2	0.34	16	51	166	0.6	0.0	007b8626	9.2	0.9985	0.05
7.1	0.34	0.2	6.1	47	164	0.42	0.0	996602c0	10	0.9946	0.063
7.3	0.22	0.3	8.2	42	207	0.46	0.0	269be3df	9.5	0.9966	0.047
7.1	0.43	0.61	11.8	54	155	0.45	0.0	13bae92a	8.7	0.9974	0.045
7.1	0.44	0.62	11.8	52	152	0.46	0.0	40ccfd0a	8.7	0.9975	0.044
7.2	0.39	0.63	11	55	156	0.44	0.0	fe19d3d2	8.7	0.9974	0.044
6.8	0.25	0.31	13.3	69	202	0.48	0.0	b53110d0	9.7	0.9972	0.05
7.1	0.43	0.61	11.8	54	155	0.45	0.0	e5732bbd	8.7	0.9974	0.045
7.1	0.44	0.62	11.8	52	152	0.46	0.0	babc2712	8.7	0.9975	0.044
7.2	0.39	0.63	11	55	156	0.44	0.0	8520a4b5	8.7	0.9974	0.044
6.1	0.27	0.43	7.5	65	243	0.47	0.0	fb24a1bb	9	0.9957	0.049
6.9	0.24	0.33	1.7	47	136	0.4	0.0	318a3a74	12.6	0.99	0.035
6.9	0.21	0.33	1.8	48	136	0.41	0.0	341bbfbd	12.6	0.9899	0.034
7.5	0.17	0.32	1.7	51	148	0.44	0.0	59e576e9	11.5	0.9916	0.04
7.1	0.26	0.29	12.4	62	240	0.42	0.0	e240923a	9.2	0.9969	0.044
6	0.34	0.66	15.9	26	164	0.5	0.0	eea6e321	8.8	0.9979	0.046
8.6	0.265	0.36	1.2	15	80	0.36	0.0	cfd48928	11.4	0.9913	0.034
9.8	0.36	0.46	10.5	4	83	0.3	0.0	9a156ac2	10.1	0.9956	0.038
6	0.34	0.66	15.9	26	164	0.5	0.0	55817489	8.8	0.9979	0.046
7.4	0.25	0.37	13.5	52	192	0.44	0.0	e6c585a7	9.1	0.9975	0.06
7.1	0.12	0.32	9.6	64	162	0.41	0.0	f2884579	9.4	0.9962	0.054
6	0.21	0.24	12.1	55	164	0.39	0.0	cf5f069a	9.4	0.997	0.05
7.5	0.305	0.4	18.9	44	170	0.46	0.0	e445a240	9	1	0.059
7.4	0.25	0.37	13.5	52	192	0.44	0.0	c3e9b70b	9.1	0.9975	0.06
7.3	0.13	0.32	14.4	34	109	0.35	0.0	5edf8709	9.2	0.9974	0.051
7.1	0.12	0.32	9.6	64	162	0.41	0.0	791a8f17	9.4	0.9962	0.054
7.1	0.23	0.35	16.5	60	171	0.59	0.0	77fbdddd	9.1	0.999	0.04
7.1	0.23	0.35	16.5	60	171	0.59	0.0	493a9cf3	9.1	0.999	0.04
6.9	0.33	0.28	1.3	37	187	0.6	0.0	1a889280	10.3	0.9927	0.051
6.5	0.17	0.54	8.5	64	163	0.39	0.0	2a9897e9	8.8	0.9959	0.082
7.2	0.27	0.46	18.75	45	255	0.52	0.0	e00be17a	8.9	1	0.052
7.2	0.31	0.5	13.3	68	195	0.47	0.0	5c59ba90	9.2	0.9982	0.056
6.7	0.41	0.34	9.2	29	150	0.51	0.0	05d7099b	9.1	0.9968	0.049
6.7	0.41	0.34	9.2	29	150	0.51	0.0	59daab43	9.1	0.9968	0.049
5.5	0.485	0	1.5	8	103	0.4	0.0	7e1f2f7c	9.7	0.994	0.065
6	0.31	0.24	3.3	25	143	0.44	0.0	7da8c4bb	11.3	0.9914	0.041
7	0.14	0.4	1.7	16	85	0.42	0.0	ec73fd23	11.8	0.9911	0.035
7.2	0.31	0.5	13.3	68	195	0.47	0.0	1006ac5d	9.2	0.9982	0.056
7.3	0.32	0.48	13.3	57	196	0.5	0.0	e3fb4dfa	9.2	0.9982	0.06
5.9	0.36	0.04	5.7	21	87	0.51	0.0	06beabe0	10.2	0.9934	0.046
7.8	0.24	0.32	12.2	42	138	0.54	0.0	0a006da4	8.8	0.9984	0.054
7.4	0.16	0.31	6.85	31	131	0.34	0.0	50066f36	9.7	0.9952	0.059
6.9	0.19	0.28	5	14	146	0.36	0.0	0ffbcb86	9.1	0.9952	0.058
6.4	0.13	0.47	1.6	40	158	0.36	0.0	3f5a40cd	9.8	0.9928	0.092
6.7	0.19	0.36	1.1	63	143	0.48	0.0	9ea0068d	11	0.9912	0.026
7.4	0.39	0.23	7	29	126	0.42	0.0	a32c960c	10.5	0.994	0.033
6.5	0.24	0.32	7.6	48	203	0.54	0.0	18977687	9.7	0.9958	0.038
6.1	0.3	0.56	2.8	47	179	0.57	0.0	aa97d049	10.9	0.9924	0.044
6.1	0.3	0.56	2.7	46	184	0.57	0.0	1d204c22	10.9	0.9924	0.046
5.7	0.26	0.25	10.4	7	57	0.37	0.0	d22a943d	10.6	0.994	0.02
6.5	0.24	0.32	7.6	48	203	0.54	0.0	e18ebc7f	9.7	0.9958	0.038
6.5	0.425	0.4	13.1	59	241	0.57	0.0	62a849d5	9	0.9979	0.038
6.6	0.24	0.27	15.8	46	188	0.51	0.0	d1028634	9.2	0.9982	0.035
6.8	0.27	0.22	8.1	55	203	0.52	0.0	b1549f66	8.9	0.9961	0.034
6.7	0.27	0.31	15.7	44	179	0.56	0.0	e5e86e00	9.6	0.9979	0.036
8.2	0.23	0.4	1.2	36	121	0.38	0.0	95583d7e	10.7	0.992	0.027
7.1	0.37	0.67	10.5	49	155	0.44	0.0	5c2414c5	8.7	0.9975	0.045
6.8	0.19	0.36	1.9	30	96	0.54	0.0	010a1898	10.8	0.9917	0.035
8.1	0.28	0.39	1.9	18	79	0.52	0.0	d759b97f	11.8	0.9923	0.029
6.3	0.31	0.34	2.2	20	77	0.43	0.0	8ec85035	10.2	0.9927	0.045
7.1	0.37	0.67	10.5	49	155	0.44	0.0	368226b9	8.7	0.9975	0.045
7.9	0.21	0.4	1.2	38	107	0.54	0.0	7f1a405a	10.8	0.992	0.039
8.5	0.21	0.41	4.3	24	99	0.53	0.0	af553dc1	9.7	0.9947	0.036
8.1	0.2	0.4	2	19	87	0.54	0.0	ef0860d8	11.2	0.9921	0.037
6.3	0.255	0.37	1.1	37	114	0.39	0.0	8e78bf0f	10.9	0.9905	0.04
5.6	0.16	0.27	1.4	53	168	0.37	0.0	cb120b41	10.1	0.9918	0.044
6.4	0.595	0.14	5.2	15	97	0.36	0.0	ece9dd72	9	0.9951	0.058
6.3	0.34	0.33	4.6	19	80	0.58	0.0	336628a9	12	0.9917	0.034
6.9	0.25	0.3	4.1	23	116	0.38	0.0	58f5a423	9.4	0.994	0.054
7.9	0.22	0.38	8	46	152	0.32	0.0	25b55568	11.5	0.9934	0.043
7.6	0.18	0.46	10.2	58	135	0.43	0.0	eaf686f0	9.9	0.9968	0.055
6.9	0.25	0.3	4.1	23	116	0.38	0.0	72678121	9.4	0.994	0.054
7.2	0.18	0.41	1.2	41	97	0.45	0.0	e7f71a4a	10.4	0.9919	0.048
8.2	0.23	0.4	7.5	12	76	0.84	0.0	e6884cb8	9.7	0.9966	0.049
7.4	0.24	0.42	14	48	198	0.42	0.0	c7e1e01a	8.9	0.9979	0.066
7.4	0.24	0.42	14	48	198	0.42	0.0	13a41ef1	8.9	0.9979	0.066
6.1	0.32	0.24	1.5	38	124	0.42	0.0	1ecb3482	12.4	0.9898	0.036
5.2	0.44	0.04	1.4	43	119	0.33	0.0	a3404a89	12.1	0.9894	0.036
5.2	0.44	0.04	1.4	43	119	0.33	0.0	dbb103a4	12.1	0.9894	0.036
6.1	0.32	0.24	1.5	38	124	0.42	0.0	6f46e20c	12.4	0.9898	0.036
6.4	0.22	0.56	14.5	27	159	0.4	0.0	e6e1fe56	9.1	0.998	0.055
6.3	0.36	0.3	4.8	14	85	0.39	0.0	2300894d	10.6	0.9932	0.049
7.4	0.24	0.42	14	48	198	0.42	0.0	721e9794	8.9	0.9979	0.066
6.7	0.24	0.35	13.1	64	205	0.5	0.0	f4382f21	9.5	0.997	0.05
7	0.23	0.36	13	72	177	0.49	0.0	3a566989	9.8	0.9972	0.051
8.4	0.27	0.46	8.7	39	197	0.59	0.0	b66064ac	9.6	0.9974	0.048
6.7	0.46	0.18	2.4	25	98	0.44	0.0	fe1c3f69	12.6	0.9896	0.034
7.5	0.29	0.31	8.95	20	151	0.54	0.0	fe38e5d5	9.3	0.9968	0.055
9.8	0.42	0.48	9.85	5	110	0.29	0.0	5d59c4ae	10	0.9958	0.034
7.1	0.3	0.46	1.5	29	133	0.54	0.0	5a91492f	12.7	0.9906	0.066
7.9	0.19	0.45	1.5	17	96	0.39	0.0	50a0e53a	11	0.9917	0.045
7.6	0.48	0.37	0.8	4	100	0.39	0.0	8aef67ba	11.4	0.9902	0.037
6.3	0.22	0.43	4.55	31	130	0.33	0.0	509ff33b	11.5	0.9918	0.038
7.5	0.27	0.31	17.7	33	173	0.64	0.0	5710cbdd	10.2	0.999	0.051
6.9	0.23	0.4	7.5	50	151	0.27	0.0	f6e11b8e	11.4	0.9927	0.04
7.2	0.32	0.47	5.1	19	65	0.41	0.0	37747b20	12.6	0.991	0.044
5.9	0.23	0.3	12.9	57	170	0.39	0.0	627d33e4	9.4	0.9972	0.054
6	0.67	0.07	1.2	9	108	0.35	0.0	a6c819c0	8.7	0.9931	0.06
6.4	0.25	0.32	5.5	41	176	0.68	0.0	932c4502	9.2	0.995	0.049
6.4	0.33	0.31	5.5	42	173	0.66	0.0	1467eeb7	9.3	0.9951	0.048
7.1	0.34	0.15	1.2	61	183	0.43	0.0	01b1792d	9.2	0.9936	0.053
6.8	0.28	0.4	22	48	167	0.5	0.0	46e8d1bb	8.7	1.001	0.048
6.9	0.27	0.4	14	64	227	0.58	0.0	a2052839	9.6	0.9979	0.05
6.8	0.26	0.56	11.9	64	226	0.63	0.0	d68653fc	9.3	0.997	0.043
6.8	0.29	0.56	11.9	66	230	0.63	0.0	83c134d7	9.3	0.9972	0.043
6.7	0.24	0.41	9.4	49	166	0.61	0.0	e6504591	9.9	0.9954	0.04
5.9	0.3	0.23	4.2	42	119	0.5	0.0	b86d289a	11	0.9924	0.038
6.8	0.53	0.35	3.8	26	109	0.57	0.0	c0552bc8	12.7	0.9906	0.034
6.5	0.28	0.28	8.5	54	210	0.54	0.0	433fb20f	8.9	0.9962	0.047
6.6	0.28	0.28	8.5	55	211	0.55	0.0	47e17353	8.9	0.9962	0.052
6.8	0.28	0.4	22	48	167	0.5	0.0	16609dee	8.7	1.001	0.048
6.8	0.28	0.36	8	28	123	0.37	0.0	569fbde5	11.4	0.9928	0.045
6.6	0.15	0.34	5.1	34	125	0.42	0.0	29b51a2b	9.6	0.9942	0.055
6.4	0.29	0.44	3.6	75	181	0.41	0.0	0a8403f4	9.1	0.9942	0.2
6.4	0.3	0.45	3.5	76	180	0.39	0.0	55929c7d	9.1	0.9942	0.197
6.4	0.29	0.44	3.6	75	183	0.38	0.0	eb999491	9.1	0.9942	0.197
6.8	0.26	0.24	7.8	54	214	0.47	0.0	16f2c782	8.9	0.9961	0.052
7.1	0.32	0.24	13.1	52	204	0.49	0.0	5b41e050	8.8	0.998	0.05
6.8	0.26	0.24	7.8	54	214	0.47	0.0	b48ce54b	8.9	0.9961	0.052
6.8	0.27	0.26	16.1	55	196	0.5	0.0	608002e1	9.3	0.9984	0.049
7.1	0.32	0.24	13.1	52	204	0.49	0.0	c7f6a3f0	8.8	0.998	0.05
6.9	0.54	0.32	13.2	53	236	0.5	0.0	8c48e784	9.6	0.9973	0.05
6.8	0.26	0.34	13.9	39	134	0.53	0.0	56f2bf3a	12	0.9949	0.034
5.8	0.28	0.35	2.3	36	114	0.5	0.0	24d95aec	10.2	0.9924	0.053
6.4	0.21	0.5	11.6	45	153	0.43	0.0	a8dd7f38	8.8	0.9972	0.042
7	0.16	0.32	8.3	38	126	0.34	0.0	f39f67cd	9.2	0.9958	0.045
10.2	0.44	0.88	6.2	20	124	0.51	0.0	7a0d1abb	9.9	0.9968	0.049
6.8	0.57	0.29	2.2	15	77	0.74	0.0	6771fe61	10.2	0.9938	0.04
6.1	0.4	0.31	0.9	23	170	0.77	0.0	5e2b891a	9.5	0.993	0.048
5.6	0.245	0.25	9.7	12	68	0.34	0.0	04dc1a31	10.5	0.994	0.032
6.8	0.18	0.38	1.4	35	111	0.59	0.0	107d345c	11.2	0.9918	0.038
7	0.16	0.32	8.3	38	126	0.34	0.0	23a350fe	9.2	0.9958	0.045
6.7	0.13	0.29	5.3	31	122	0.37	0.0	0187774b	9.7	0.9944	0.051
6.2	0.25	0.25	1.4	35	105	0.44	0.0	745e0157	11.1	0.9912	0.03
5.8	0.26	0.24	9.2	55	152	0.38	0.0	8ec85a62	9.4	0.9961	0.044
7.5	0.27	0.36	7	45	164	0.33	0.0	66c0589d	11	0.9939	0.036
5.8	0.26	0.24	9.2	55	152	0.38	0.0	14c38f55	9.4	0.9961	0.044
5.7	0.28	0.24	17.5	60	167	0.44	0.0	1a8b855b	9.4	0.9989	0.044
7.5	0.23	0.36	7	43	161	0.32	0.0	904df6ab	11	0.9938	0.036
7.5	0.27	0.36	7	45	164	0.33	0.0	10608648	11	0.9939	0.036
7.2	0.685	0.21	9.5	33	172	0.55	0.0	32fe3a09	9.1	0.9971	0.07
6.2	0.25	0.25	1.4	35	105	0.44	0.0	f6b884b7	11.1	0.9912	0.03
6.5	0.19	0.3	0.8	33	144	0.39	0.0	3a1f0df7	9.1	0.9936	0.043
6.3	0.495	0.22	1.8	31	140	0.54	0.0	6fbee6f0	10.4	0.9929	0.046
7.1	0.24	0.41	17.8	39	145	0.39	0.0	2f9c5650	8.7	0.9998	0.046
6.4	0.17	0.32	2.4	41	200	0.5	0.0	52ddee2b	9.7	0.9938	0.048
7.1	0.25	0.32	10.3	66	272	0.52	0.0	8773c213	9.1	0.9969	0.041
6.4	0.17	0.32	2.4	41	200	0.5	0.0	f4086021	9.7	0.9938	0.048
7.1	0.24	0.41	17.8	39	145	0.39	0.0	53de289c	8.7	0.9998	0.046
6.8	0.64	0.08	9.7	26	142	0.46	0.0	f19c6278	8.9	0.9972	0.062
8.3	0.28	0.4	7.8	38	194	0.51	0.0	dfd88476	9.6	0.9976	0.041
8.2	0.27	0.39	7.8	49	208	0.51	0.0	a43fb9ed	9.5	0.9976	0.039
7.2	0.23	0.38	14.3	55	194	0.44	0.0	faa68862	9	0.9979	0.058
7.2	0.23	0.38	14.3	55	194	0.44	0.0	10115016	9	0.9979	0.058
7.2	0.23	0.38	14.3	55	194	0.44	0.0	738543dc	9	0.9979	0.058
7.2	0.23	0.38	14.3	55	194	0.44	0.0	31862b55	9	0.9979	0.058
6.8	0.52	0.32	13.2	54	221	0.5	0.0	0e93a4a0	9.6	0.9972	0.044
7	0.26	0.59	1.4	40	120	0.41	0.0	2f017685	11.1	0.9918	0.037
6.2	0.25	0.21	15.55	28	159	0.64	0.0	d576e211	9.6	0.9982	0.039
7.3	0.32	0.23	13.7	49	197	0.46	0.0	fb4aa8c2	8.7	0.9985	0.05
7.7	0.31	0.26	7.8	23	90	0.5	0.0	c1dc4b4f	10.4	0.9944	0.031
7.1	0.21	0.37	2.4	23	100	0.38	0.0	7b3fcc00	11.4	0.9903	0.026
6.8	0.24	0.34	2.7	64.5	218.5	0.58	0.0	48fdd1aa	9.7	0.9934	0.047
6.9	0.4	0.56	11.2	40	142	0.46	0.0	3e25ba5e	8.7	0.9975	0.043
6.1	0.18	0.36	2	20	249.5	0.79	0.0	1a6d5f9e	11.3	0.9923	0.038
6.8	0.21	0.27	2.1	26	139	0.61	0.0	6157151b	12.6	0.99	0.03
5.8	0.2	0.27	1.4	12	77	0.36	0.0	5b0d0f38	10.9	0.9905	0.031
5.6	0.19	0.26	1.4	12	76	0.37	0.0	ad780b7f	10.9	0.9905	0.03
6.1	0.41	0.14	10.4	18	119	0.45	0.0	1e085c83	10	0.996	0.037
5.9	0.21	0.28	4.6	40	199	0.7	0.0	674fad5f	10	0.9964	0.053
8.5	0.26	0.21	16.2	41	197	0.5	0.0	4c3a5821	9.8	0.998	0.074
6.9	0.4	0.56	11.2	40	142	0.46	0.0	85046b2f	8.7	0.9975	0.043
5.8	0.24	0.44	3.5	5	109	0.43	0.0	6228904d	11.7	0.9913	0.029
5.8	0.24	0.39	1.5	37	158	0.52	0.0	bcf5bb52	9.3	0.9932	0.054
6.7	0.26	0.39	1.1	45	147	0.58	0.0	e63140c5	9.6	0.9935	0.04
6.3	0.35	0.3	5.7	8	97	0.41	0.0	8effbc55	11	0.9927	0.035
6.3	0.35	0.3	5.7	8	97	0.41	0.0	09188319	11	0.9927	0.035
6.4	0.23	0.39	1.8	23	118	0.5	0.0	df518110	11.8	0.9912	0.032
5.8	0.36	0.38	0.9	3	75	0.34	0.0	737d95a9	11.4	0.9904	0.037
6.9	0.115	0.35	5.4	36	108	0.42	0.0	5efe2b7c	10.2	0.9939	0.048
6.9	0.29	0.4	19.45	36	156	0.47	0.0	17935230	8.9	0.9996	0.043
6.9	0.28	0.4	8.2	15	95	0.33	0.0	89c53795	10.2	0.9944	0.036
7.2	0.29	0.4	13.6	66	231	0.59	0.0	d5e35be6	9.6	0.9977	0.045
6.2	0.24	0.35	1.2	22	167	0.48	0.0	5106ff57	10.6	0.9912	0.038
6.9	0.29	0.4	19.45	36	156	0.47	0.0	da0a3047	8.9	0.9996	0.043
6.9	0.32	0.26	8.3	32	180	0.51	0.0	93ae4b3d	9.2	0.9965	0.053
5.3	0.58	0.07	6.9	34	149	0.57	0.0	35e43d4e	9.7	0.9944	0.043
5.3	0.585	0.07	7.1	34	145	0.57	0.0	cb5414d8	9.7	0.9945	0.044
5.4	0.59	0.07	7	36	147	0.57	0.0	bb8bf619	9.7	0.9944	0.045
6.9	0.32	0.26	8.3	32	180	0.51	0.0	a94c2b53	9.2	0.9965	0.053
5.2	0.6	0.07	7	33	147	0.58	0.0	e267768f	9.7	0.9944	0.044
5.8	0.25	0.26	13.1	44	148	0.38	0.0	482d297b	9.3	0.9972	0.051
6.6	0.58	0.3	5.1	30	123	0.38	0.0	1e203287	9	0.9949	0.057
7	0.29	0.54	10.7	59	234	0.61	0.0	827f591e	9.5	0.9966	0.046
6.6	0.19	0.41	8.9	51	169	0.57	0.0	99e24dc0	9.8	0.9954	0.046
6.7	0.2	0.41	9.1	50	166	0.58	0.0	260c2b24	9.8	0.9954	0.044
7.7	0.26	0.4	1.1	9	60	0.5	0.0	2a5646b1	10.6	0.9915	0.042
6.8	0.32	0.34	1.2	14	67	0.47	0.0	50192e36	10.6	0.9919	0.044
7	0.3	0.49	4.7	17	105	0.68	0.0	1eefdf01	12.4	0.9916	0.036
7	0.24	0.36	2.8	22	112	0.38	0.0	c19ab733	12.6	0.99	0.034
6.1	0.31	0.58	5	36	114	0.6	0.0	1734112d	12.3	0.9909	0.039
6.8	0.44	0.37	5.1	46	201	0.65	0.0	94a29eca	10.5	0.9938	0.047
6.7	0.34	0.3	15.6	51	196	0.49	0.0	e9db5f2a	9.3	0.9982	0.054
7.1	0.35	0.24	15.4	46	198	0.49	0.0	e9750b6a	8.8	0.9988	0.055
7.3	0.32	0.25	7.2	47	180	0.47	0.0	3a5aca2a	8.8	0.9961	0.056
6.5	0.28	0.33	15.7	51	190	0.51	0.0	aea022d2	9.7	0.9978	0.053
7.2	0.23	0.39	14.2	49	192	0.48	0.0	dc7700d5	9	0.9979	0.058
7.2	0.23	0.39	14.2	49	192	0.48	0.0	cae9dc68	9	0.9979	0.058
7.2	0.23	0.39	14.2	49	192	0.48	0.0	c71f2dea	9	0.9979	0.058
7.2	0.23	0.39	14.2	49	192	0.48	0.0	e9133f98	9	0.9979	0.058
5.9	0.15	0.31	5.8	53	155	0.46	0.0	65ce9e0a	10.5	0.9945	0.041
7.4	0.28	0.42	19.8	53	195	0.44	0.0	3776cfcf	9.1	1	0.066
6.2	0.28	0.22	7.3	26	157	0.64	0.0	74b4ddb0	9.8	0.9957	0.041
9.1	0.59	0.38	1.6	34	182	0.38	0.0	2c3ae0d5	8.5	0.9968	0.066
6.3	0.33	0.27	1.2	34	175	0.54	0.0	822a30e1	9.4	0.9934	0.046
8.3	0.39	0.7	10.6	33	169	0.57	0.0	1a0224e8	9.4	0.9976	0.045
7.2	0.19	0.46	3.8	82	187	0.6	0.0	b90b07f0	11.2	0.9932	0.041
7.5	0.17	0.44	11.3	65	146	0.45	0.0	49461168	10	0.997	0.046
6.7	0.17	0.5	2.1	27	122	0.45	0.0	8ce67528	10.3	0.9923	0.043
6.1	0.41	0	1.6	36	87	0.67	0.0	158b48b3	10.8	0.9914	0.063
8.3	0.2	0.35	0.9	12	74	0.38	0.0	454249df	10.5	0.992	0.05
6.1	0.41	0	1.6	36	87	0.67	0.0	91abbc2e	10.8	0.9914	0.063
6	0.29	0.21	1.3	42	168	0.43	0.0	5cd94f3e	11.1	0.9914	0.055
7.3	0.41	0.24	6.8	41	163	0.41	0.0	35c9819c	9.9	0.9949	0.057
7.3	0.41	0.24	6.8	41	163	0.41	0.0	f7bd0b36	9.9	0.9949	0.057
7.2	0.43	0.24	6.7	40	163	0.41	0.0	e01f83d2	9.9	0.995	0.058
7.3	0.4	0.24	6.7	41	166	0.41	0.0	c47f6507	9.9	0.995	0.058
6.2	0.33	0.27	4.9	30	134	0.42	0.0	217c1725	10.4	0.9927	0.036
6.2	0.31	0.26	4.8	36	148	0.41	0.0	de1649d5	10.4	0.9928	0.037
6.1	0.36	0.27	2.1	16	100	0.71	0.0	f6496c98	11.5	0.9917	0.035
5	0.55	0.14	8.3	35	164	0.51	0.0	4950e491	12.5	0.9918	0.032
7.8	0.25	0.41	3.7	37	149	0.45	0.0	1b989ad0	10	0.9954	0.042
5.7	0.36	0.21	6.7	51	166	0.63	0.0	8a843e8d	10	0.9941	0.038
5.8	0.34	0.21	6.6	50	167	0.62	0.0	5d8a9edf	10	0.9941	0.04
6.8	0.28	0.6	1.1	42	127	0.44	0.0	101190aa	9.1	0.9934	0.132
6.8	0.25	0.34	4.7	34	134	0.38	0.0	822bf2fe	10.6	0.9927	0.031
6.6	0.24	0.35	7.7	36	135	0.37	0.0	151787fa	10.5	0.9938	0.031
5.9	0.3	0.47	7.85	19	133	0.43	0.0	1296da1e	11.5	0.9933	0.03
6.1	0.125	0.25	3.3	10	69	0.59	0.0	1e8e2fde	10.1	0.9934	0.04
6	0.1	0.24	1.1	15	65	0.61	0.0	f8549d84	10.3	0.9927	0.041
6.6	0.24	0.35	7.7	36	135	0.37	0.0	0aa79a69	10.5	0.9938	0.031
6.8	0.25	0.34	4.7	34	134	0.38	0.0	84e2347d	10.6	0.9927	0.031
6.8	0.28	0.44	9.3	35	137	0.36	0.0	e4e4274f	10.4	0.9946	0.031
8.3	0.41	0.51	2	11	207	0.55	0.0	3208dd59	11.4	0.993	0.046
7.5	0.27	0.31	5.8	131	313	0.59	0.0	199cec8e	10.5	0.9946	0.057
7.9	0.26	0.41	15.15	38	216	0.6	0.0	28f2c679	10	0.9976	0.04
6.4	0.34	0.23	6.3	37	143	0.65	0.0	4e338fcc	10	0.9944	0.039
6.5	0.28	0.35	15.4	55	195	0.5	0.0	62fa7521	9.6	0.9978	0.042
7.2	0.21	0.41	1.3	33	85	0.51	0.0	05e12c65	10.4	0.992	0.036
6.4	0.32	0.35	4.8	34	101	0.6	0.0	2dcbde93	12.5	0.9912	0.03
6.8	0.24	0.34	4.6	37	135	0.39	0.0	7e551799	10.6	0.9927	0.032
6.3	0.23	0.3	1.8	16	91	0.4	0.0	a9a4e725	11.8	0.9906	0.033
6.5	0.28	0.34	9.9	30	133	0.44	0.0	5a3767f5	9.8	0.9954	0.038
5.6	0.26	0.26	5.7	12	80	0.38	0.0	cb1a19f4	10.8	0.9923	0.031
6.3	0.23	0.3	1.8	16	91	0.4	0.0	355bce58	11.8	0.9906	0.033
6.3	0.23	0.33	1.5	15	105	0.42	0.0	f4ddf425	11.2	0.991	0.036
5.8	0.27	0.27	12.3	55	170	0.42	0.0	5818dbb3	9.3	0.9972	0.045
5.9	0.26	0.4	1.3	12	139	0.53	0.0	01a45f40	10.4	0.9945	0.047
6.6	0.18	0.35	1.5	49	141	0.85	0.0	2aafe300	10.2	0.9934	0.049
7.4	0.2	0.43	7.8	27	153	0.55	0.0	2f566256	9	0.9964	0.045
8	0.24	0.36	1.5	17	129	0.54	0.0	c5bd86d5	10	0.9948	0.047
6.4	0.26	0.42	9.7	30	140	0.47	0.0	cd73dfb2	9.1	0.9962	0.044
5.4	0.31	0.47	3	46	144	0.76	0.0	426992c9	10	0.9931	0.053
5.4	0.29	0.47	3	47	145	0.75	0.0	8b68e547	10	0.993	0.052
7.1	0.145	0.33	4.6	33	131	0.4	0.0	293f8c66	9.6	0.9942	0.05
5.6	0.34	0.1	1.3	20	68	0.51	0.0	bb9e7858	11.2	0.9906	0.031
6.7	0.19	0.41	15.6	75	155	0.44	0.0	8dca8e4d	8.8	0.9995	0.056
7.8	0.18	0.46	13.6	38	118	0.5	0.0	bf29101f	10	0.998	0.052
7.6	0.17	0.45	11.2	56	137	0.47	0.0	e73f8a13	10	0.997	0.054
6.3	0.12	0.36	2.1	47	146	0.74	0.0	60039ca2	11.4	0.9914	0.044
7.3	0.33	0.4	6.85	32	138	0.3	0.0	79651454	11.9	0.992	0.038
5.5	0.335	0.3	2.5	27	128	0.51	0.0	cd5abe2f	9.6	0.9924	0.071
7.3	0.33	0.4	6.85	32	138	0.3	0.0	33924bf4	11.9	0.992	0.038
5.8	0.4	0.42	4.4	38.5	245	0.57	0.0	272b8973	9.6	0.9937	0.047
7.3	0.22	0.37	14.3	48	191	0.38	0.0	f0633f1d	9	0.9978	0.063
7.3	0.22	0.37	14.3	48	191	0.38	0.0	dbc26699	9	0.9978	0.063
6.1	0.36	0.33	1.1	24	169	0.78	0.0	6c3a2a7e	9.5	0.9927	0.05
10	0.2	0.39	1.4	19	152	0.42	0.0	f711d0ec	10.4	0.994	0.05
6.9	0.24	0.34	4.7	43	161	0.59	0.0	b4729934	10.6	0.9935	0.04
6.4	0.24	0.32	14.9	54	162	0.5	0.0	e444b9bc	10.2	0.9968	0.047
7.1	0.365	0.14	1.2	24	84	0.43	0.0	e37541d8	8.9	0.9941	0.055
6.8	0.15	0.3	5.3	40	127	0.39	0.0	84b69121	9.7	0.9942	0.05
7.3	0.22	0.37	14.3	48	191	0.38	0.0	527ffb9d	9	0.9978	0.063
6.8	0.16	0.4	2.3	18	102	0.42	0.0	0efef4d1	11.4	0.9923	0.037
6	0.26	0.32	3.5	29	113	0.71	0.0	59f219a4	12.3	0.9912	0.028
6	0.18	0.27	1.5	40	143	0.62	0.0	b91afdfb	10.8	0.9923	0.089
6.9	0.33	0.21	1	39	148	0.45	0.0	9caabd99	9.4	0.9927	0.053
7.7	0.29	0.48	2.3	36	178	0.64	0.0	fc674572	10.6	0.9931	0.049
7.1	0.39	0.35	12.5	26	72	0.29	0.0	a587182d	11.6	0.9941	0.044
6.9	0.33	0.21	1	39	148	0.45	0.0	311ef7d6	9.4	0.9927	0.053
7.7	0.29	0.48	2.3	36	178	0.64	0.0	47174a5c	10.6	0.9931	0.049
6.6	0.905	0.19	0.8	17	204	0.56	0.0	51c231ba	10	0.9934	0.048
7.2	0.27	0.27	2.4	30	149	0.51	0.0	e0281cf9	9.2	0.9936	0.048
5.1	0.33	0.22	1.6	18	89	0.38	0.0	d374e83d	12.5	0.9893	0.027
5.1	0.33	0.22	1.6	18	89	0.38	0.0	33c9c222	12.5	0.9893	0.027
6.4	0.31	0.28	1.5	12	119	0.51	0.0	68bb96d1	10.4	0.9919	0.037
7.3	0.2	0.44	1.4	21	98	0.46	0.0	50486a01	10	0.9924	0.045
5.7	0.32	0.5	2.6	17	155	0.64	0.0	303d1f29	10	0.9927	0.049
6.4	0.31	0.28	1.5	12	119	0.51	0.0	e939b8fa	10.4	0.9919	0.037
7.3	0.2	0.44	1.4	21	98	0.46	0.0	2139a47e	10	0.9924	0.045
7.2	0.28	0.26	12.5	48	179	0.52	0.0	b780b3db	9	0.9975	0.046
7.5	0.35	0.28	9.6	26	157	0.53	0.0	d5ab453c	9.2	0.9969	0.051
7.2	0.27	0.27	2.4	30	149	0.51	0.0	deafc7af	9.2	0.9936	0.048
6	0.36	0.39	3.2	20	125	0.39	0.0	5a88d079	11.3	0.991	0.027
5.1	0.33	0.22	1.6	18	89	0.38	0.0	339b39af	12.5	0.9893	0.027
5	0.17	0.56	1.5	24	115	0.39	0.0	5e5db936	10.8	0.9906	0.026
6.3	0.39	0.35	5.9	82.5	260	0.66	0.0	498e5ede	10.1	0.9941	0.04
6.7	0.21	0.32	5.4	29	140	0.46	0.0	266fe3e8	9.7	0.995	0.047
7	0.3	0.38	14.9	60	181	0.61	0.0	1e886f96	9.3	0.9983	0.032
7	0.3	0.38	14.9	60	181	0.61	0.0	bbc63e77	9.3	0.9983	0.032
6.5	0.36	0.32	1.1	13	66	0.46	0.0	a2e92d28	10.6	0.9916	0.031
6.1	0.55	0.15	9.8	19	125	0.47	0.0	655c7983	10.2	0.9957	0.031
7.3	0.24	0.43	2	20	69	0.56	0.0	4af80962	12.2	0.99	0.021
6.8	0.37	0.51	11.8	62	163	0.44	0.0	cc4c88ac	8.8	0.9976	0.044
6.8	0.27	0.12	1.3	87	168	0.41	0.0	36015e9b	10	0.992	0.04
8.2	0.28	0.42	1.8	30	93	0.39	0.0	9a52daac	11.4	0.9917	0.031
6.3	0.2	0.4	1.5	35	107	0.5	0.0	03d61a36	11.4	0.9917	0.037
5.9	0.26	0.27	18.2	52	168	0.44	0.0	6f7a9e59	9.4	0.9993	0.048
6.4	0.19	0.42	2.9	32	83	0.41	0.0	c8aab0de	11.7	0.9908	0.032
6.3	0.2	0.4	1.5	35	107	0.5	0.0	bd5d7c8a	11.4	0.9917	0.037
6.8	0.37	0.51	11.8	62	163	0.44	0.0	4280638d	8.8	0.9976	0.044
6.1	0.35	0.07	1.4	22	108	0.52	0.0	66e272ac	9.2	0.9934	0.069
7.1	0.27	0.31	18.2	55	252	0.56	0.0	b1953ab1	8.7	1	0.046
6.8	0.22	0.31	6.3	33	170	0.66	0.0	681667e2	12.6	0.9918	0.035
6.8	0.27	0.12	1.3	87	168	0.41	0.0	8daf2424	10	0.992	0.04
5.8	0.28	0.34	4	40	99	0.39	0.0	dd34262d	12.8	0.9896	0.031
6.9	0.49	0.24	1.2	13	125	0.51	0.0	ab88c933	9.4	0.9932	0.049
6.3	0.14	0.39	1.2	26	116	0.53	0.0	f394e8b3	10.3	0.992	0.044
8.2	0.28	0.42	1.8	30	93	0.39	0.0	2bb3bc0b	11.4	0.9917	0.031
7.2	0.25	0.39	18.95	42	155	0.47	0.0	83d2a6c3	9	0.9999	0.038
7.3	0.28	0.36	12.7	38	140	0.79	0.0	6dadaeb4	9.6	0.998	0.04
7.2	0.19	0.39	1.2	32	85	0.5	0.0	2cf18789	10.5	0.9918	0.036
7.2	0.19	0.39	1.2	32	85	0.5	0.0	40cc30e5	10.5	0.9918	0.036
7.2	0.25	0.39	18.95	42	155	0.47	0.0	135a8897	9	0.9999	0.038
7.3	0.28	0.36	12.7	38	140	0.79	0.0	cb89e3b9	9.6	0.998	0.04
7.4	0.21	0.27	1.2	27	99	0.33	0.0	e19133b6	9.8	0.9927	0.041
6.8	0.26	0.22	7.7	57	210	0.47	0.0	dad47ae0	9	0.9959	0.047
7.4	0.21	0.27	1.2	27	99	0.33	0.0	144a332b	9.8	0.9927	0.041
7.4	0.31	0.28	1.6	33	137	0.56	0.0	0c15e4dd	10.5	0.9929	0.05
7	0.22	0.31	2.7	41	136	0.37	0.0	fc172873	12.7	0.9898	0.03
7	0.21	0.28	8.7	37	222	0.54	0.0	6237f23e	10.4	0.9954	0.045
7	0.21	0.28	8.6	37	221	0.54	0.0	9d6a77ed	10.4	0.9954	0.045
7	0.21	0.28	8.6	37	221	0.54	0.0	8817ae70	10.4	0.9954	0.045
6.9	0.23	0.38	8.3	47	162	0.52	0.0	51153131	10.5	0.9954	0.047
7	0.21	0.28	8.7	37	222	0.54	0.0	65590933	10.4	0.9954	0.045
7	0.21	0.28	8.6	37	221	0.54	0.0	866efad3	10.4	0.9954	0.045
6.8	0.29	0.5	13.3	48	194	0.45	0.0	06321825	9.4	0.9974	0.053
7.8	0.21	0.27	1.2	20	89	0.46	0.0	2545c08a	9.1	0.9936	0.051
7.1	0.31	0.47	13.6	54	197	0.49	0.0	cb7ca21c	9.3	0.9978	0.056
6.8	0.29	0.5	13.3	48	194	0.45	0.0	6759fa97	9.4	0.9974	0.053
6.4	0.34	0.1	1.1	19	84	0.38	0.0	c0dec1a5	9.8	0.9927	0.048
7.4	0.155	0.34	2.3	73.5	214	0.61	0.0	388f8c0d	9.9	0.9934	0.045
7.2	0.55	0.09	1.5	16	151	0.57	0.0	c36f40ad	9.2	0.9938	0.108
7	0.23	0.36	7.1	31	104	0.47	0.0	82d316cd	12.1	0.9922	0.028
6.9	0.2	0.37	6.2	24	97	0.49	0.0	47cf62a9	12.2	0.992	0.027
6.1	0.28	0.32	2.5	23	218.5	0.6	0.0	5dda12db	9.8	0.9935	0.042
6.6	0.16	0.32	1.4	49	186	0.64	0.0	7d03b5ce	12.4	0.9906	0.035
7.4	0.155	0.34	2.3	73.5	214	0.61	0.0	4bb45573	9.9	0.9934	0.045
6.2	0.35	0.04	1.2	23	108	0.54	0.0	ea8712a7	9.2	0.9934	0.06
6.7	0.22	0.37	1.6	24	102	0.59	0.0	856acbc5	11.6	0.9913	0.028
6.1	0.38	0.2	6.6	25	137	0.69	0.0	96f4dc67	10.4	0.9938	0.033
6	0.25	0.28	2.2	54	126	0.65	0.0	b74ccc38	12.9	0.9898	0.026
6.6	0.52	0.44	12.2	54	245	0.54	0.0	edb81a85	9.3	0.9975	0.048
6.9	0.24	0.36	20.8	40	139	0.33	0.0	f2f22065	11	0.9975	0.031
7.1	0.32	0.32	11	16	66	0.4	0.0	2f84287f	11.5	0.9937	0.038
5.8	0.28	0.27	2.6	30	156	0.42	0.0	57ada8c0	12.4	0.9914	0.054
6.5	0.41	0.24	14	24	113	0.53	0.0	aa0e8546	9.8	0.9982	0.048
6.5	0.41	0.24	14	24	113	0.53	0.0	ae01117a	9.8	0.9982	0.048
6.4	0.28	0.29	1.6	34	127	0.56	0.0	201036ef	10.5	0.9929	0.052
7.2	0.6	0.2	9.9	21	174	0.54	0.0	e188766d	9.1	0.9971	0.07
6.1	0.2	0.25	1.2	34	128	0.44	0.0	445e17d9	10.1	0.9921	0.038
5.9	0.46	0.14	2.7	27	160	0.51	0.0	9b30e536	10.6	0.9931	0.042
6	0.27	0.27	1.6	32	113	0.51	0.0	716ffcab	10.5	0.9924	0.046
6.4	0.28	0.29	1.6	34	127	0.56	0.0	e29bde1d	10.5	0.9929	0.052
6.4	0.41	0.24	14	24	113	0.53	0.0	137e2b9b	9.8	0.9982	0.048
6.3	0.23	0.31	1.5	11	82	0.4	0.0	1985a181	12.9	0.9892	0.022
7.1	0.21	0.27	8.6	26	111	0.52	0.0	b7808eb4	9.5	0.9956	0.056
6	0.37	0.32	1	31	218.5	0.72	0.0	bbdc8c1f	9.8	0.9924	0.053
6.1	0.43	0.35	9.1	83	249	0.5	0.0	2e92dbec	8.5	0.9971	0.059
7.1	0.21	0.27	8.6	26	111	0.52	0.0	9832f2fa	9.5	0.9956	0.056
7	0.25	0.29	15.2	40	171	0.45	0.0	0ff87f17	9.3	0.9982	0.047
5.9	0.25	0.19	12.4	50	162	0.38	0.0	9448372e	9.5	0.9973	0.047
6.8	0.32	0.21	2.2	15	68	0.39	0.0	cc4ea4c8	9.4	0.9932	0.044
7.2	0.39	0.62	11	66	178	0.5	0.0	a94ea873	8.7	0.9976	0.047
6.3	0.21	0.58	10	34	126	0.46	0.0	ba5193a1	8.9	0.9962	0.081
7	0.14	0.32	9	54	141	0.43	0.0	5304319d	9.4	0.9956	0.039
6.8	0.32	0.21	2.2	15	68	0.39	0.0	a7be3ec0	9.4	0.9932	0.044
7.2	0.39	0.62	11	66	178	0.5	0.0	d0d29608	8.7	0.9976	0.047
7.2	0.29	0.53	18.15	59	182	0.52	0.0	5c2f55a8	9.6	0.9992	0.047
8.6	0.37	0.7	12.15	21	158	0.73	0.0	c9ea0382	9.3	0.9983	0.039
6.5	0.38	0.34	3.4	34	200	0.76	0.0	474f9b1e	10	0.9937	0.036
6.6	0.24	0.29	2	19	86	0.45	0.0	04d8d90f	12.5	0.99	0.023
7	0.17	0.31	4.8	34	132	0.48	0.0	e4e0f17e	9.6	0.9944	0.034
5.5	0.16	0.22	4.5	30	102	0.36	0.0	5fb53d4c	9.4	0.9938	0.03
7	0.24	0.51	11	55	227	0.61	0.0	8e029c8a	9.5	0.9965	0.029
7.4	0.28	0.36	1.1	42	105	0.39	0.0	d21779b8	12.4	0.9893	0.028
7	0.22	0.28	1.5	29	115	0.55	0.0	ad78a7db	10.5	0.9927	0.037
7.1	0.55	0.13	1.7	21	165	0.58	0.0	e218c7bd	9.2	0.994	0.073
6.3	0.22	0.33	1.7	67	164	0.56	0.0	e8388aff	10.4	0.9928	0.041
6.7	0.47	0.34	8.9	31	172	0.6	0.0	c4107ac3	9.2	0.9964	0.043
5.9	0.36	0.41	1.3	45	104	0.51	0.0	0cee5aed	10.6	0.9917	0.047
5.8	0.25	0.24	13.3	41	137	0.42	0.0	2ff29ea6	9.5	0.9972	0.044
6.7	0.47	0.34	8.9	31	172	0.6	0.0	98263563	9.2	0.9964	0.043
6.2	0.37	0.3	6.6	79	200	0.58	0.0	c4e1f5e2	9.6	0.9954	0.346
6.2	0.18	0.38	1.5	36	117	0.54	0.0	465017d5	9.7	0.993	0.028
6	0.16	0.37	1.5	43	117	0.51	0.0	d7d6b3c5	9.7	0.9928	0.025
6.6	0.34	0.28	1.3	32	90	0.42	0.0	27509715	10.7	0.9916	0.035
7.4	0.29	0.29	1.6	53	180	0.68	0.0	4a1bdb8a	10.5	0.9936	0.045
7.4	0.26	0.31	7.6	52	177	0.45	0.0	d19db418	8.9	0.9962	0.047
7	0.28	0.36	1	8	70	0.46	0.0	7726267f	12.1	0.9899	0.035
7.1	0.23	0.39	1.6	12	65	0.4	0.0	6648f4ae	12.7	0.9898	0.032
7.8	0.19	0.26	8.9	42	182	0.46	0.0	79465dd5	9.9	0.996	0.039
6.3	0.19	0.28	1.8	28	158	0.64	0.0	dadf86bd	11.4	0.9907	0.022
6.8	0.2	0.38	4.7	27	103	0.58	0.0	e776a25f	10.7	0.994	0.04
5.7	0.44	0.13	7	28	173	0.48	0.0	5bb89ef4	12.5	0.9913	0.025
7.2	0.4	0.62	10.8	70	189	0.49	0.0	d203cfc5	8.6	0.9976	0.041
6.8	0.23	0.32	1.6	43	147	0.54	0.0	e11094f9	12.5	0.9904	0.026
5.7	0.335	0.34	1	13	174	0.66	0.0	cc9ddadf	10	0.992	0.04
7.2	0.4	0.62	10.8	70	189	0.49	0.0	2ccfc80b	8.6	0.9976	0.041
7.2	0.28	0.54	16.7	54	200	0.49	0.0	bcdcb8d7	9.5	0.999	0.045
6.8	0.19	0.58	14.2	51	164	0.48	0.0	15d6f802	9.6	0.9975	0.038
6.4	0.3	0.3	2.25	8	210	0.62	0.0	36c964a7	9.9	0.9937	0.038
6.5	0.3	0.29	2.25	8	210	0.62	0.0	32640aee	9.9	0.9937	0.037
7.8	0.18	0.31	12.2	46	140	0.53	0.0	f2eba189	8.9	0.998	0.053
7.8	0.18	0.31	12.2	46	140	0.53	0.0	8332b750	8.9	0.998	0.053
7.3	0.51	0.26	3.3	7	135	0.52	0.0	811f3994	8.8	0.9944	0.09
6	0.24	0.27	1.9	40	170	0.54	0.0	02f5404d	10	0.9938	0.048
5.9	0.62	0.28	3.5	55	152	0.44	0.0	fcbbc6e5	12	0.9907	0.039
6	0.24	0.27	1.9	40	170	0.54	0.0	21578689	10	0.9938	0.048
6.7	0.27	0.12	1.3	62	138	0.42	0.0	291aff7f	10	0.9921	0.041
7.8	0.34	0.35	1.8	8	167	0.41	0.0	e9af6097	12.1	0.9908	0.042
7.3	0.26	0.36	5.2	31	141	0.59	0.0	eb639ea6	11	0.9931	0.04
7.4	0.36	0.33	1.4	27	55	0.33	0.0	24dd4252	11.2	0.9915	0.025
7.8	0.28	0.32	9	34	115	0.39	0.0	966048a7	10.3	0.9952	0.036
6.1	0.31	0.26	2.2	28	167	0.47	0.0	971dd59f	10.4	0.9926	0.051
6.8	0.18	0.37	1.6	47	154	0.45	0.0	a1995611	9.1	0.9934	0.055
7.4	0.15	0.42	1.7	49	154	0.6	0.0	5edbbe1a	10.4	0.992	0.045
5.9	0.13	0.28	1.9	20	78	0.64	0.0	75d343e4	10.8	0.9918	0.05
7.2	0.34	0.34	12.6	7	41	0.4	0.0	3cedbe14	11.7	0.9942	0.048
7.9	0.19	0.26	2.1	8	143	0.74	0.0	1af6a741	9.8	0.9942	0.039
7.9	0.19	0.26	2.1	8	143	0.74	0.0	88cba7a4	9.8	0.9942	0.039
6.9	0.25	0.4	1.3	22	101	0.39	0.0	9bca9538	11.4	0.9901	0.038
5.8	0.36	0.32	1.7	22	96	0.38	0.0	8d794e17	11.2	0.9898	0.033
5.6	0.35	0.37	1	6	72	0.34	0.0	4b441587	11.4	0.9902	0.038
5.9	0.32	0.39	3.3	24	140	0.45	0.0	7df7b576	9.2	0.9934	0.114
7.2	0.31	0.46	5	3	29	0.53	0.0	b996dd95	12.5	0.9906	0.04
6.1	0.28	0.22	1.8	32	116	0.44	0.0	3ebc3e2e	12.6	0.9898	0.034
5.2	0.36	0.02	1.6	24	104	0.35	0.0	414effd4	12.2	0.9896	0.031
5.6	0.19	0.47	4.5	19	112	0.45	0.0	6614b47d	11.2	0.9922	0.03
6.4	0.1	0.35	4.9	31	103	0.79	0.0	26ae4017	9.7	0.9947	0.048
6.4	0.18	0.48	4	64	150	0.4	0.0	73a081d2	9.3	0.9945	0.186
7.4	0.25	0.36	13.2	53	178	0.48	0.0	823b070c	9	0.9976	0.067
7.4	0.25	0.36	13.2	53	178	0.48	0.0	e8b455e6	9	0.9976	0.067
7.4	0.25	0.36	13.2	53	178	0.48	0.0	4a6a87fd	9	0.9976	0.067
7.9	0.345	0.51	15.3	54	171	0.51	0.0	9858b12b	9.1	0.9987	0.047
7.9	0.345	0.51	15.3	54	171	0.51	0.0	f6675d88	9.1	0.9987	0.047
7.4	0.25	0.36	13.2	53	178	0.48	0.0	e57ffe9e	9	0.9976	0.067
6.1	0.24	0.3	1.5	22	61	0.54	0.0	5f195132	10.4	0.992	0.045
6.8	0.25	0.24	4.55	41	211	0.67	0.0	7e8dcfde	9.5	0.9955	0.053
6.7	0.31	0.31	9.9	10	175	0.55	0.0	483b899f	11.4	0.9953	0.04
7.2	0.46	0.65	10.4	76	192	0.42	0.0	6d5e5b86	8.7	0.9976	0.05
5.5	0.35	0.35	1.1	14	167	0.68	0.0	be3144f7	9.9	0.992	0.045
6.7	0.24	0.41	8.7	29	148	0.62	0.0	862fea1e	9.9	0.9952	0.036
6.8	0.28	0.17	13.9	49	162	0.51	0.0	044a3958	9	0.9983	0.047
6.4	0.16	0.22	1.4	41	149	0.58	0.0	2ece4a69	10	0.9933	0.04
6.3	0.26	0.24	7.2	38	172	0.64	0.0	92d6659a	9.7	0.9958	0.039
7.7	0.22	0.42	1.9	10	87	0.49	0.0	ea13ff80	11.8	0.9922	0.052
6.5	0.18	0.31	1.7	30	127	0.5	0.0	0d10e711	10.2	0.9928	0.044
7.2	0.46	0.65	10.4	76	192	0.42	0.0	f62b6dcb	8.7	0.9976	0.05
7	0.3	0.51	13.6	40	168	0.52	0.0	b7c92c5f	9.6	0.9976	0.05
9.2	0.25	0.34	1.2	31	93	0.37	0.0	4fcc49ed	11.3	0.9916	0.026
7.8	0.28	0.34	1.6	32	118	0.38	0.0	b75f97ad	12.1	0.9901	0.028
7	0.3	0.51	13.6	40	168	0.52	0.0	82c8582b	9.6	0.9976	0.05
7.8	0.28	0.34	1.6	32	118	0.38	0.0	59eff05c	12.1	0.9901	0.028
9.2	0.25	0.34	1.2	31	93	0.37	0.0	ffeeada9	11.3	0.9916	0.026
8.4	0.35	0.71	12.2	22	160	0.65	0.0	2f0160ad	9.4	0.9982	0.046
6.1	0.41	0.24	1.6	16	137	0.5	0.0	2bc62c20	10.4	0.993	0.049
5.9	0.21	0.24	12.1	53	165	0.39	0.0	6e6db6cf	9.5	0.9969	0.044
7.2	0.34	0.44	4.2	51	144	0.76	0.0	2c58bf62	12.3	0.991	0.047
6.7	0.21	0.42	9.1	31	150	0.74	0.0	1c3b047f	9.9	0.9953	0.049
5.9	0.37	0.1	1.6	39	128	0.48	0.0	da5e5427	10.1	0.9924	0.057
7.7	0.34	0.27	8.8	39	184	0.63	0.0	7cb15ac4	9.2	0.9969	0.063
7.4	0.3	0.22	1.4	16	135	0.77	0.0	6ced975e	10.4	0.9928	0.046
6.8	0.51	0.3	4.2	38	165	0.42	0.0	bb86cdc5	9.1	0.9945	0.066
7.8	0.22	0.38	10.3	28	99	0.47	0.0	52f149e8	10	0.9967	0.059
7.2	0.35	0.34	12.4	6	37	0.39	0.0	28df8ae1	11.5	0.9944	0.051
6	0.26	0.5	2.2	59	153	0.61	0.0	3f790ce8	9.8	0.9928	0.048
6.1	0.26	0.51	2.2	61	154	0.6	0.0	d7e98c83	9.8	0.9929	0.05
6.5	0.28	0.27	5.2	44	179	0.69	0.0	d592f579	9.4	0.9948	0.04
7.4	0.41	0.66	10.8	77	194	0.46	0.0	13789821	8.7	0.9976	0.051
6.5	0.28	0.29	2.7	26	107	0.41	0.0	99cf9513	11.6	0.9912	0.038
6.7	0.34	0.54	16.3	44	181	0.56	0.0	7a363b63	8.8	0.9987	0.047
7.2	0.2	0.34	2.7	49	151	0.39	0.0	a4061d46	12.7	0.99	0.032
7.4	0.2	0.33	1.9	39	138	0.44	0.0	d18e76c7	11.7	0.991	0.035
8.2	0.22	0.3	1.8	47	185	0.5	0.0	dbb64245	10.2	0.9933	0.047
8.2	0.23	0.29	1.8	47	187	0.5	0.0	df3bfda0	10.2	0.9933	0.047
7.1	0.22	0.33	2.8	48	153	0.38	0.0	a8325124	12.7	0.9899	0.033
6.5	0.28	0.29	2.7	26	107	0.41	0.0	deffab08	11.6	0.9912	0.038
6	0.38	0.26	6	42	134	0.38	0.0	229d3416	12.3	0.9912	0.034
7.4	0.41	0.66	10.8	77	194	0.46	0.0	bcd224a6	8.7	0.9976	0.051
5.7	0.18	0.22	4.2	25	111	0.39	0.0	063e06f3	9.4	0.994	0.042
7.3	0.3	0.22	6.4	44	168	0.35	0.0	c4682ffa	10.1	0.9947	0.056
7.4	0.24	0.22	10.7	26	81	0.36	0.0	46df5d88	9.7	0.9954	0.042
6.6	0.25	0.3	1.6	32	134	0.51	0.0	dd04577c	10.1	0.993	0.046
7.4	0.24	0.22	10.7	26	81	0.36	0.0	50754109	9.7	0.9954	0.042
7.4	0.26	0.3	7.9	38	157	0.48	0.0	20971b44	8.9	0.9963	0.049
6.1	0.32	0.25	1.7	37	136	0.5	0.0	71d9c90d	10.8	0.992	0.034
6.9	0.28	0.27	2.1	42	121	0.49	0.0	f9e6eb2b	10.8	0.9926	0.036
7	0.23	0.33	5.8	25	136	0.58	0.0	3266d996	9.5	0.995	0.04
7.1	0.31	0.5	14.5	6	148	0.44	0.0	538e451e	9.1	0.9983	0.059
7.3	0.2	0.37	1.2	48	119	0.49	0.0	ed34bc11	10.9	0.992	0.037
6.9	0.41	0.33	10.1	28	152	0.52	0.0	2cff29d4	9.4	0.9968	0.043
6.4	0.45	0.07	1.1	10	131	0.28	0.0	38e66d48	10.8	0.9905	0.03
6.4	0.475	0.06	1	9	131	0.29	0.0	60a00a44	10.8	0.9904	0.03
6.3	0.27	0.38	0.9	7	140	0.5	0.0	0267761d	10.5	0.9926	0.051
6.9	0.41	0.33	10.1	28	152	0.52	0.0	3f974a5d	9.4	0.9968	0.043
7	0.29	0.37	4.9	26	127	0.44	0.0	25b5b465	10.8	0.9928	0.034
5.9	0.27	0.29	11.4	31	115	0.48	0.0	50807e63	10.5	0.9949	0.036
6.9	0.19	0.4	1.4	14	55	0.68	0.0	cd520386	11.5	0.9909	0.036
6.7	0.3	0.35	1.4	36	160	0.54	0.0	e0845cd5	9.4	0.9937	0.18
7.2	0.24	0.4	1.4	31	106	0.38	0.0	dc103bb0	10.8	0.9914	0.045
6.4	0.45	0.07	1.1	10	131	0.28	0.0	e09f9bf7	10.8	0.9905	0.03
6.4	0.475	0.06	1	9	131	0.29	0.0	38e4a26f	10.8	0.9904	0.03
6.3	0.26	0.49	1.5	34	134	0.61	0.0	033470a6	9.8	0.9924	0.052
6.3	0.26	0.49	1.5	34	134	0.61	0.0	afadfe91	9.8	0.9924	0.052
7.3	0.25	0.29	7.5	38	158	0.38	0.0	f59ff953	9.6	0.9965	0.049
7.3	0.25	0.29	7.5	38	158	0.38	0.0	50358d69	9.6	0.9965	0.049
6.1	0.28	0.25	17.75	48	161	0.48	0.0	230d3027	9.5	0.9993	0.044
7.4	0.37	0.35	5.7	12	94	0.69	0.0	9c2d13f1	10.7	0.9965	0.061
6.5	0.36	0.28	3.2	29	119	0.65	0.0	0a13e53b	12.4	0.9908	0.037
7.4	0.24	0.4	4.3	9	95	0.39	0.0	e602c1e8	11.1	0.992	0.032
7.5	0.23	0.68	11	37	133	0.38	0.0	8dd97aba	8.8	0.9978	0.047
7.5	0.21	0.68	10.9	38	133	0.36	0.0	4e0eaf8b	8.7	0.9978	0.045
7.5	0.21	0.68	10.9	38	133	0.36	0.0	0a877171	8.7	0.9978	0.045
7.5	0.23	0.68	11	37	133	0.38	0.0	21c62210	8.8	0.9978	0.047
7.8	0.32	0.33	2.4	18	101	0.65	0.0	62911a10	11.7	0.9912	0.037
7.8	0.26	0.27	1.9	52	195	0.5	0.0	d30fc1bf	10.9	0.9928	0.051
7.7	0.24	0.27	1.8	52	190	0.5	0.0	3f4d32e4	10.8	0.9928	0.051
7.4	0.19	0.3	1.4	33	135	0.5	0.0	7c01246e	9.6	0.993	0.057
6.5	0.46	0.41	16.8	59	222	0.58	0.0	7cc3cb61	9	0.9993	0.084
6.5	0.26	0.43	8.9	50	171	0.5	0.0	a215d2a8	9	0.9965	0.083
5.3	0.32	0.12	6.6	22	141	0.6	0.0	b98aaf31	10.4	0.9937	0.043
7.2	0.24	0.34	1.1	3	64	0.51	0.0	491a0494	11.4	0.9913	0.045
6	0.36	0.06	1.4	27	128	0.55	0.0	3ca73609	9.3	0.9934	0.066
6.2	0.24	0.29	13.3	49	130	0.46	0.0	bda2f765	11	0.9952	0.039
7.6	0.56	0.12	10.4	22	177	0.45	0.0	0375e792	9.1	0.9983	0.096
7	0.32	0.24	6.2	31	228	0.62	0.0	5da6cef6	9.4	0.9957	0.048
7	0.32	0.24	6.2	31	228	0.62	0.0	12ac7fce	9.4	0.9957	0.048
5.8	0.31	0.33	1.2	23	99	0.6	0.0	d8be97ed	10.5	0.9916	0.036
7	0.23	0.42	18.05	35	144	0.42	0.0	de00c2bb	8.8	0.9999	0.05
7	0.23	0.42	18.05	35	144	0.42	0.0	bb9246d5	8.8	0.9999	0.05
6.9	0.24	0.33	4.8	16	131	0.64	0.0	c03e133e	10.7	0.9936	0.04
6	0.29	0.2	12.6	45	187	0.42	0.0	f89e1c4b	9.5	0.9972	0.045
6.1	0.17	0.28	4.5	46	150	0.49	0.0	9f6aaebb	10.9	0.9933	0.033
5.9	0.14	0.25	4.5	34	140	0.51	0.0	74ca796e	10.8	0.9934	0.027
6.2	0.17	0.28	4.7	39	133	0.46	0.0	3946530e	10.8	0.9931	0.037
7.4	0.28	0.25	11.9	25	148	0.62	0.0	ffa95fa3	9.2	0.9976	0.053
5.6	0.35	0.14	5	48	198	0.71	0.0	60034622	10.3	0.9937	0.046
5.8	0.335	0.14	5.8	49	197	0.71	0.0	20b1d7ac	10.3	0.9937	0.046
5.6	0.235	0.29	1.2	33	127	0.5	0.0	1c28634c	11	0.991	0.047
6.1	0.28	0.25	12.9	34	189	0.43	0.0	f159612d	9	0.9979	0.054
6.3	0.21	0.33	13.9	68	179	0.5	0.0	b74913dd	10.4	0.9971	0.046
6.4	0.24	0.28	11.5	34	163	0.45	0.0	8b575987	9.5	0.9969	0.05
6.4	0.24	0.29	11.4	32	166	0.45	0.0	547c8d87	9.5	0.9968	0.051
6.3	0.26	0.25	7.8	44	166	0.41	0.0	4092a39b	9	0.9961	0.058
6.5	0.33	0.72	1.1	7	151	0.57	0.0	ba9a7d05	9.5	0.993	0.061
7.4	0.105	0.34	12.2	57	146	0.37	0.0	b759452b	9	0.9973	0.05
6	0.32	0.12	5.9	34	190	0.72	0.0	8ae9e2ea	10	0.9944	0.041
7.1	0.26	0.34	14.4	35	189	0.53	0.0	c3d6bb78	9.1	0.9986	0.067
7.1	0.26	0.34	14.4	35	189	0.53	0.0	545cc7a0	9.1	0.9986	0.067
7.1	0.26	0.34	14.4	35	189	0.53	0.0	e9f0e16c	9.1	0.9986	0.067
7.1	0.26	0.34	14.4	35	189	0.53	0.0	a0d29f34	9.1	0.9986	0.067
5.9	0.24	0.26	12.3	34	134	0.45	0.0	9941e8e3	9.5	0.9972	0.053
6.5	0.21	0.37	2.5	70	138	0.75	0.0	3bab6441	11.4	0.9917	0.048
7.7	0.27	0.35	5.3	30	117	0.42	0.0	d5c4a5e1	12.2	0.992	0.03
9	0.27	0.35	4.9	27	95	0.4	0.0	0d80c80e	11.3	0.9932	0.028
7.3	0.34	0.21	3.2	14	136	0.44	0.0	6af0690a	10.2	0.9936	0.05
6.6	0.27	0.25	3.1	41	188	0.4	0.0	095a51da	11.3	0.9915	0.052
6.8	0.29	0.16	1.4	122.5	234.5	0.47	0.0	6bbde872	10	0.9922	0.038
7.1	0.28	0.26	1.9	12	86	0.38	0.0	19230b95	9.4	0.9934	0.049
6.8	0.25	0.34	14	47	133	0.5	0.0	f544ca4a	12.2	0.9952	0.032
7	0.57	0.1	8.3	23	188	0.47	0.0	7040882f	9.2	0.9972	0.094
7.1	0.28	0.26	1.9	12	86	0.38	0.0	8c19b819	9.4	0.9934	0.049
7.1	0.17	0.38	7.4	49	182	0.52	0.0	7805d170	9.6	0.9958	0.052
7.8	0.28	0.22	1.4	24	130	0.48	0.0	4578b458	9.5	0.9944	0.056
6.8	0.22	0.37	1.7	38	195	0.72	0.0	41696ff8	12.5	0.9908	0.036
7.1	0.17	0.38	7.4	49	182	0.52	0.0	8032ea9f	9.6	0.9958	0.052
6.1	0.14	0.25	1.3	37	173	0.46	0.0	99d40e7b	10	0.9925	0.047
6.4	0.24	0.5	11.6	60	211	0.57	0.0	ee57881b	9.3	0.9966	0.047
7.8	0.42	0.26	9.2	34	199	0.55	0.0	04061733	9.3	0.9972	0.058
6.6	0.28	0.36	1.7	22	101	0.57	0.0	ad855f8b	11.6	0.9912	0.038
7.1	0.32	0.34	14.5	46	150	0.5	0.0	25ea84c2	12.5	0.995	0.039
6.7	0.31	0.3	2.1	18	130	0.63	0.0	3055a240	10.6	0.9928	0.038
6.4	0.32	0.5	10.7	57	206	0.6	0.0	25d81441	9.4	0.9968	0.047
6.1	0.28	0.25	6.9	44	201	0.4	0.0	cd532f74	9.1	0.9955	0.056
5.9	0.29	0.25	12	48	224	0.41	0.0	1b31c765	9	0.9981	0.057
5.8	0.32	0.38	4.75	23	94	0.42	0.0	b82892b8	11.8	0.991	0.033
5.8	0.32	0.38	4.75	23	94	0.42	0.0	8a2d495f	11.8	0.991	0.033
5.7	0.32	0.38	4.75	23	94	0.42	0.0	df59d6dd	11.8	0.991	0.033
6.7	0.28	0.14	1.4	64	159	0.39	0.0	b97c2896	10	0.992	0.043
6.8	0.34	0.69	1.3	12	171	0.47	0.0	d0091659	9.7	0.9931	0.058
5.9	0.25	0.25	11.3	30	165	0.44	0.0	b64e6960	9.5	0.997	0.052
6.4	0.27	0.32	4.5	61	174	0.48	0.0	7a0725ce	9.4	0.9948	0.24
8.1	0.46	0.31	1.7	50	183	0.42	0.0	4b01a7d7	11.2	0.9923	0.052
6.2	0.36	0.26	13.2	54	201	0.46	0.0	dd93bbd4	9	0.9976	0.051
6.8	0.22	0.35	5.5	21	114	0.53	0.0	866bb759	10.7	0.9938	0.043
6.8	0.67	0.3	13	22	193	0.67	0.0	154fac75	9	0.9984	0.29
7.2	0.28	0.3	10.7	61	222	0.5	0.0	16a7b7c4	9.1	0.9972	0.044
6.7	0.17	0.37	2	34	125	0.6	0.0	bcda2881	10.8	0.9922	0.039
6.9	0.2	0.34	1.9	25	136	0.6	0.0	3f671330	10.1	0.9935	0.043
6.1	0.36	0.16	6.4	36	198	0.62	0.0	8cd9acd5	9.9	0.9944	0.037
6	0.36	0.16	6.3	36	191	0.62	0.0	0dc03c76	9.8	0.9942	0.036
5.9	0.37	0.14	6.3	34	185	0.63	0.0	8babcd33	9.8	0.9944	0.036
7.6	0.29	0.58	17.5	51	225	0.66	0.0	4f620a8d	9.5	0.9997	0.041
6.3	0.34	0.28	14.7	49	198	0.46	0.0	6a6a6787	9.5	0.9977	0.047
6.7	0.19	0.34	1	22	94	0.57	0.0	4abc6a64	11.1	0.9912	0.022
7.5	0.31	0.51	14.8	62	204	0.6	0.0	a8ac1cb5	9.5	0.9982	0.039
7.5	0.31	0.51	14.8	62	204	0.6	0.0	f7bc9e77	9.5	0.9982	0.039
7.4	0.31	0.48	14.2	62	204	0.59	0.0	279bfce0	9.4	0.9983	0.042
8.4	0.4	0.7	13.1	29	197	0.64	0.0	c4c61be2	9.7	0.998	0.042
5.9	0.34	0.22	2.4	19	135	0.78	0.0	4aa3597d	13.9	0.9894	0.03
6.6	0.38	0.18	1.2	20	84	0.45	0.0	04aa03f3	10.1	0.9927	0.042
6.4	0.33	0.28	1.1	30	110	0.42	0.0	508d7860	10.5	0.9917	0.038
5.6	0.25	0.26	3.6	18	115	0.5	0.0	2072883f	12.6	0.9904	0.037
8.6	0.27	0.46	6.1	13	41	0.34	0.0	09a81691	10.9	0.993	0.032
6.2	0.31	0.21	6.3	50	218	0.6	0.0	a95ae89f	10	0.9941	0.041
7.2	0.18	0.45	4.4	57	166	0.62	0.0	2eef130c	11.2	0.9943	0.046
7.7	0.2	0.44	13.9	44	130	0.48	0.0	bc04b1e6	10	0.99855	0.05
6.2	0.47	0.21	1	13	98	0.46	0.0	d83e3bfd	9.2	0.99345	0.044
6.1	0.25	0.24	12.1	51	172	0.45	0.0	f3ac3b85	9.5	0.998	0.046
8.2	0.27	0.43	1.6	31	128	0.5	0.0	3f6fa526	12.3	0.9916	0.035
8.2	0.27	0.43	1.6	31	128	0.5	0.0	6767196b	12.3	0.9916	0.035
6.4	0.31	0.39	7.5	57	213	0.43	0.0	1b137bed	10	0.99475	0.04
6	0.39	0.26	2.7	39	187	0.5	0.0	2cfdb37f	10.8	0.99325	0.038
6.2	0.21	0.27	1.7	41	150	0.71	0.0	83b86854	10.5	0.9933	0.038
7.7	0.42	0.31	9.2	22	221	0.61	0.0	4af4358b	9.2	0.9969	0.048
7	0.27	0.41	18.75	34	157	0.5	0.0	48f680d6	9.1	1.0002	0.042
6.2	0.21	0.27	1.7	41	150	0.71	0.0	96f7441f	10.5	0.9933	0.038
7.4	0.29	0.5	1.8	35	127	0.5	0.0	03f4fa3e	10.2	0.9937	0.042
6.6	0.29	0.44	9	62	178	0.45	0.0	82ba541b	8.9	0.99685	0.053
6	0.3	0.44	1.5	15	182	0.52	0.0	3a66424b	10.4	0.99455	0.046
6.9	0.31	0.34	1.6	23	128	0.47	0.0	190b4cbf	11.7	0.9917	0.032
6.6	0.33	0.31	1.3	29	89	0.44	0.0	10db2dcc	12.4	0.99035	0.02
7.8	0.3	0.4	1.8	23	122	0.39	0.0	71931850	10.9	0.9914	0.028
6.4	0.39	0.21	1.2	35	136	0.46	0.0	8ad264b6	10.2	0.99225	0.041
6.4	0.24	0.31	2.8	41	114	0.66	0.0	9a5a0adb	11.7	0.99155	0.038
7	0.21	0.34	8	19	101	0.59	0.0	d1957bf2	9.4	0.9954	0.057
6.4	0.16	0.31	5.3	42	157	0.47	0.0	4e93ed22	10.5	0.99455	0.043
6	0.33	0.27	0.8	12	188	0.62	0.0	6ec31d2a	9.4	0.9924	0.185
6.5	0.23	0.33	13.8	25	139	0.56	0.0	2cefba23	10.4	0.99695	0.042
6.2	0.25	0.48	10	78	240	0.47	0.0	c76f2443	9.5	0.99655	0.044
8.8	0.28	0.45	6	14	49	0.33	0.0	b0dd2f6a	11.1	0.9934	0.022
6.6	0.25	0.3	14.4	40	183	0.5	0.0	10224fda	9.1	0.998	0.052
6.9	0.38	0.25	9.8	28	191	0.61	0.0	6181815a	9.2	0.9971	0.04
6.4	0.25	0.3	5.5	15	129	0.49	0.0	8678d0ec	9.6	0.9948	0.038
6.6	0.25	0.3	14.4	40	183	0.5	0.0	bceec226	9.1	0.998	0.052
6.9	0.38	0.25	9.8	28	191	0.61	0.0	966f2ec8	9.2	0.9971	0.04
7.1	0.21	0.31	3.8	40	142	0.39	0.0	c55063e7	10.8	0.99215	0.021
6.4	0.25	0.3	5.5	15	129	0.49	0.0	f8e01d7c	9.6	0.9948	0.038
6.9	0.39	0.4	4.6	5	19	0.37	0.0	bb1d173c	12.6	0.9915	0.022
5.8	0.2	0.3	1.5	21	57	0.55	0.0	b4d8ff59	11	0.99115	0.031
7	0.2	0.37	2	26	136	0.61	0.0	4252f0e7	10.2	0.9932	0.03
5.9	0.26	0.25	12.5	38	152	0.43	0.0	9b48f0ac	9.4	0.9977	0.034
7.4	0.38	0.27	7.5	24	160	0.43	0.0	102d7096	10	0.99535	0.041
7.4	0.2	1.66	2.1	34	113	0.55	0.0	76fefd3a	12.2	0.99165	0.022
7	0.21	0.34	8.5	31	253	0.56	0.0	23944eab	10.5	0.9953	0.033
7.2	0.29	0.4	7.6	56	177	0.32	0.0	032ffde8	11.5	0.9928	0.024
6.9	0.18	0.38	8.1	44	176	0.54	0.0	871dcf67	9.8	0.9958	0.049
7.3	0.3	0.42	7.35	51	175	0.32	0.0	095a98ed	11.4	0.9928	0.025
7.2	0.29	0.4	7.6	56	177	0.32	0.0	4727d954	11.5	0.9928	0.024
6.9	0.2	0.5	10	78	167	0.55	0.0	c788f5c4	10.2	0.9964	0.036
6.7	0.2	0.42	14	83	160	0.5	0.0	0913c656	9.4	0.9987	0.038
7	0.21	0.34	8.5	31	253	0.56	0.0	2bd13896	10.5	0.9953	0.033
5.9	0.35	0.47	2.2	14	138	0.5	0.0	f05b370c	9.1	0.9932	0.11
7.1	0.28	0.44	1.8	32	107	0.48	0.0	81b084c6	12.2	0.9907	0.032
5.8	0.25	0.28	11.1	45	175	0.43	0.0	ff18c828	9.5	0.99755	0.056
6.8	0.22	0.37	15.2	68	178	0.85	0.0	74620ecd	9.3	0.99935	0.051
7.1	0.14	0.4	1.2	55	136	0.96	0.0	d62d2a07	9.8	0.9932	0.051
7.1	0.13	0.4	1.2	54	134	0.97	0.0	41309b36	9.8	0.9932	0.047
6.9	0.18	0.38	8.1	44	176	0.54	0.0	eebb7a7b	9.8	0.9958	0.049
7	0.2	0.38	8.1	42	173	0.54	0.0	eb8676fd	9.8	0.99585	0.05
6.8	0.24	0.49	19.3	55	247	0.56	0.0	8280a8dd	8.7	1.00055	0.057
5	0.44	0.04	18.6	38	128	0.57	0.0	b2ef6434	10.2	0.9985	0.039
6.3	0.3	0.28	5	36	168	0.69	0.0	acc44f28	9.5	0.99505	0.042
7.2	0.27	0.42	1.6	35	135	0.46	0.0	2c5aa43d	11	0.992	0.05
6.7	0.5	0.63	13.4	81	238	0.44	0.0	bcd7be06	9.2	0.9988	0.078
6.8	0.2	0.36	1.6	7	46	0.6	0.0	2ba7a4c7	10.9	0.99175	0.028
6.7	0.11	0.34	8.8	41	113	0.4	0.0	2099913b	9.3	0.9962	0.043
6.7	0.11	0.34	8.8	41	113	0.4	0.0	8f869fef	9.3	0.9962	0.043
6.8	0.12	0.31	5.2	29	120	0.46	0.0	740abb7f	9.8	0.9942	0.045
6.6	0.16	0.57	1.1	58	140	0.39	0.0	4e5edb85	9.3	0.9927	0.13
6.6	0.21	0.6	1.1	61	144	0.39	0.0	0485315e	9.3	0.9927	0.135
6.1	0.27	0.3	16.7	49	172	0.45	0.0	98ab7448	9.4	0.99985	0.039
9.1	0.27	0.45	10.6	28	124	0.46	0.0	6fd65223	10.4	0.997	0.035
6.4	0.225	0.48	2.2	29	104	0.58	0.0	a90584a4	12.1	0.9918	0.115
8.3	0.14	0.45	1.5	18	98	0.56	0.0	51fd5aad	11	0.99215	0.039
7.2	0.23	0.19	13.7	47	197	0.53	0.0	32a0f4d1	9	0.99865	0.052
6.9	0.22	0.37	15	59	178	0.82	0.0	9881a469	9.5	0.9992	0.053
8.1	0.17	0.44	14.1	43	145	0.75	0.0	165fa4b5	8.8	1.0006	0.053
6	0.395	0	1.4	7	55	0.38	0.0	c1a07ef1	11.2	0.99135	0.042
7.8	0.29	0.22	9.5	44	213	0.61	0.0	6a37ffe1	9.3	0.99715	0.056
6.9	0.22	0.37	15	59	178	0.82	0.0	8665a135	9.5	0.9992	0.053
8.1	0.17	0.44	14.1	43	145	0.75	0.0	505b1ad1	8.8	1.0006	0.053
7.2	0.23	0.19	13.7	47	197	0.53	0.0	28ab9904	9	0.99865	0.052
7.6	0.3	0.27	10.6	31	119	0.3	0.0	bf27aec5	9.3	0.99815	0.039
7.7	0.34	0.28	11	31	117	0.29	0.0	11fa41f3	9.2	0.99815	0.04
7.7	0.34	0.28	11	31	117	0.29	0.0	a144b0ee	9.2	0.99815	0.04
5.8	0.34	0.16	7	26	116	0.45	0.0	01bd9798	10	0.9949	0.037
7.6	0.3	0.27	10.6	31	119	0.3	0.0	7d4a7b1f	9.3	0.99815	0.039
7.7	0.34	0.28	11	31	117	0.29	0.0	f4d62107	9.2	0.99815	0.04
5.9	0.24	0.3	2	28	92	0.69	0.0	7d529d4c	10.9	0.99225	0.033
6.4	0.46	0.08	4.9	34	144	0.56	0.0	20d240a9	10	0.99445	0.046
5.9	0.24	0.3	2	28	92	0.69	0.0	d5a6fa5a	10.9	0.99225	0.033
7.4	0.32	0.27	1.4	38	173	0.52	0.0	3ab12bf8	9.3	0.99335	0.049
7.2	0.31	0.26	7.3	37	157	0.43	0.0	698872b5	9	0.99625	0.05
7.8	0.42	0.23	8.8	42	215	0.58	0.0	28f72149	9.2	0.9971	0.054
6.9	0.24	0.33	12.5	47	153	0.77	0.0	f20151bd	9.6	0.9983	0.046
5.4	0.18	0.24	4.8	30	113	0.4	0.0	d9795d9a	9.4	0.99445	0.041
6	0.18	0.31	1.4	14	75	0.58	0.0	9a7b0abd	11.1	0.99085	0.036
7.8	0.27	0.58	11.2	44	161	0.41	0.0	42b9db1f	8.9	0.9977	0.036
6	0.28	0.49	6.8	61	222	0.47	0.0	ceead2ca	9.3	0.9953	0.048
6.8	0.39	0.35	11.6	57	220	0.53	0.0	cbada5bc	9.3	0.99775	0.044
6.6	0.21	0.31	11.4	46	165	0.44	0.0	a28c4886	9.8	0.99795	0.039
7.3	0.32	0.34	6.6	24	112	0.46	0.0	c1889f73	9.8	0.99505	0.032
7.8	0.27	0.58	11.2	44	161	0.41	0.0	bd128fb8	8.9	0.9977	0.036
6.4	0.31	0.26	13.2	57	205	0.41	0.0	370c18b7	9.6	0.9975	0.046
6.2	0.29	0.26	13.1	55	204	0.41	0.0	e567d9df	9.6	0.99745	0.046
6	0.39	0.17	12	65	246	0.38	0.0	886274dc	9	0.9976	0.046
6.2	0.3	0.26	13.4	57	206	0.43	0.0	8abeacbf	9.5	0.99775	0.046
6	0.28	0.49	6.8	61	222	0.47	0.0	a881b525	9.3	0.9953	0.048
6	0.41	0.05	1.5	17	120	0.56	0.0	2f63796e	9.2	0.9932	0.063
6.4	0.35	0.28	1.1	9	160	0.5	0.0	a1748417	9.1	0.99405	0.055
6.5	0.26	0.32	16.5	44	166	0.46	0.0	3c57b386	9.5	1	0.045
7.9	0.35	0.24	15.6	44	229	0.59	0.0	1df382f1	10.5	0.99785	0.072
6.2	0.3	0.17	2.8	24	125	0.46	0.0	8dab2557	9	0.9939	0.04
8.4	0.18	0.42	5.1	7	77	0.52	0.0	aec87ba8	11.7	0.9939	0.036
6.6	0.56	0.22	8.9	27	133	0.51	0.0	278a6ead	9.1	0.99675	0.034
6.2	0.3	0.17	2.8	24	125	0.46	0.0	e91f599a	9	0.9939	0.04
6.6	0.56	0.22	8.9	27	133	0.51	0.0	998e1a8e	9.1	0.99675	0.034
6.6	0.36	0.29	1.6	24	85	0.61	0.0	347483d8	12.4	0.98965	0.021
7.3	0.655	0.2	10.2	28	212	0.58	0.0	ac1c0517	9.2	0.9971	0.071
6.8	0.18	0.21	5.4	34	104	0.43	0.0	b7cc34f5	9.4	0.99445	0.053
6.7	0.19	0.23	6.2	36	117	0.43	0.0	b1423623	9.6	0.9945	0.047
8.4	0.18	0.42	5.1	7	77	0.52	0.0	e33430e9	11.7	0.9939	0.036
7	0.21	0.37	7.2	36	167	0.56	0.0	2c2f3e81	9.8	0.9958	0.042
6.8	0.25	0.38	8.1	24	155	0.59	0.0	e01af4aa	10.2	0.9956	0.046
7.4	0.24	0.36	2	27	139	0.48	0.0	b511431a	12.5	0.99055	0.031
7.1	0.16	0.36	10.7	20	90	0.44	0.0	ef2f4371	10.9	0.9959	0.044
7.1	0.16	0.36	1.2	21	90	0.42	0.0	2c6885ec	11	0.9925	0.043
7.3	0.205	0.31	1.7	34	110	0.69	0.0	9b6dc552	10.5	0.9963	0.06
7.4	0.17	0.4	5.5	34	161	0.62	0.0	94eb307d	11.5	0.9935	0.037
7.3	0.3	0.34	2.7	34	108	0.53	0.0	0a3ea062	12.8	0.99105	0.044
6.9	0.25	0.34	1.3	27	82	0.44	0.0	c20c433e	12.2	0.99045	0.035
7.3	0.205	0.31	1.7	34	110	0.69	0.0	57061631	10.5	0.9963	0.06
7.5	0.42	0.34	4.3	34	108	0.45	0.0	e21d7574	12.8	0.99155	0.04
7.3	0.25	0.36	2.1	30	177	0.4	0.0	4ea3a27a	11.9	0.99085	0.034
7.3	0.25	0.36	2.1	30	177	0.4	0.0	507ab04d	11.9	0.99085	0.034
7.3	0.25	0.36	2.1	30	177	0.4	0.0	286db118	11.9	0.99085	0.034
7.5	0.34	0.35	6	12	126	0.39	0.0	c8b75e25	12	0.9924	0.034
7.6	0.33	0.35	6.3	12	126	0.39	0.0	c5475d1d	12	0.9924	0.036
8.7	0.23	0.32	13.4	35	169	0.47	0.0	c113c054	8.8	0.99975	0.044
8.7	0.23	0.32	13.4	35	169	0.47	0.0	75249f56	8.8	0.99975	0.044
6.9	0.19	0.35	1.7	33	101	0.54	0.0	5e027883	10.8	0.99315	0.036
7.3	0.21	0.29	1.6	29	118	0.5	0.0	28098307	11	0.9917	0.034
7.3	0.21	0.29	1.6	29	118	0.5	0.0	90a16307	11	0.9917	0.034
6.6	0.22	0.37	15.4	62	153	0.4	0.0	9876871b	9.3	0.99845	0.035
9.2	0.34	0.27	1.2	17	73	0.39	0.0	3dae295d	10.8	0.9921	0.026
8.7	0.23	0.32	13.4	35	169	0.47	0.0	60066d4f	8.8	0.99975	0.044
6	0.2	0.24	1.8	30	105	0.47	0.0	85c2f36b	11.5	0.9909	0.03
6.9	0.19	0.35	1.7	33	101	0.54	0.0	372d040b	10.8	0.99315	0.036
8.2	0.38	0.49	13.6	58	166	0.54	0.0	25ca1abe	9.4	0.99855	0.042
6.9	0.18	0.36	1.3	40	117	0.95	0.0	83ec21f2	9.5	0.9934	0.036
7.7	0.34	0.58	11.1	41	151	0.49	0.0	316890b2	8.6	0.9978	0.039
6.9	0.18	0.36	1.3	40	117	0.95	0.0	7b251528	9.5	0.9934	0.036
7.4	0.2	0.35	2.1	30	116	0.77	0.0	708b3b4b	10.3	0.9949	0.038
8.2	0.38	0.49	13.6	58	166	0.54	0.0	2be42358	9.4	0.99855	0.042
8.2	0.4	0.48	13.7	59	169	0.52	0.0	05ad98a1	9.4	0.9986	0.042
6.7	0.22	0.39	10.2	60	149	0.54	0.0	2a20b65a	10	0.99725	0.038
6.6	0.3	0.3	4.8	60	166	0.47	0.0	c46eac91	9.4	0.9946	0.17
8.1	0.27	0.35	1.7	38	103	0.63	0.0	77a3e11f	10.4	0.99255	0.03
7.3	0.25	0.42	14.2	57	182	0.75	0.0	c40fe023	9.1	0.9996	0.041
4.8	0.34	0	6.5	33	163	0.61	0.0	6b60ff6f	9.9	0.9939	0.028
6.2	0.28	0.33	1.7	24	111	0.5	0.0	f634149b	12.1	0.99	0.029
4.8	0.33	0	6.5	34	163	0.61	0.0	eb41f5bc	9.9	0.9937	0.028
6.1	0.27	0.33	2.2	26	117	0.3	0.0	786bbb2a	12.5	0.9886	0.021
6.9	0.18	0.36	1.3	40	117	0.95	0.0	1260e9f7	9.5	0.9934	0.036
7.8	0.18	0.46	12.6	41	143	0.76	0.0	c2e38573	8.5	1	0.042
7.3	0.28	0.42	14.4	49	173	0.82	0.0	7e24ae39	9	0.9994	0.04
7.3	0.24	0.29	1.2	37	97	0.7	0.0	824adc54	10.1	0.9926	0.037
6	0.45	0.65	9.7	11	159	0.48	0.0	896cf7b2	9.4	0.9956	0.08
7.7	0.34	0.58	11.1	41	151	0.49	0.0	81fc8cb7	8.6	0.9978	0.039
6.3	0.26	0.21	4	24	125	0.34	0.0	905426dd	10.7	0.9915	0.03
10.3	0.17	0.47	1.4	5	33	0.28	0.0	e61db673	9.6	0.9939	0.037
7.7	0.15	0.29	1.3	10	64	0.39	0.0	9a2397a9	10.1	0.9932	0.029
7.1	0.21	0.32	2.2	28	141	0.57	0.0	0583ddc5	10	0.993	0.037
6.9	0.36	0.34	4.2	57	119	0.36	0.0	ca0c7de0	12.7	0.9898	0.018
6	0.28	0.34	1.6	33	104	0.38	0.0	c7537338	10.2	0.9921	0.119
6.2	0.16	0.54	1.4	37	110	0.37	0.0	fca76775	8.9	0.9932	0.126
6.9	0.12	0.36	2.2	18	111	0.82	0.0	e0defb87	11.9	0.9919	0.037
7.1	0.21	0.32	2.2	28	141	0.57	0.0	a9595c8b	10	0.993	0.037
8.8	0.36	0.44	1.9	9	121	0.48	0.0	e798c6b9	9.9	0.9953	0.04
7.4	0.26	0.43	6	22	125	0.55	0.0	2934fa2e	11.5	0.9928	0.022
7.4	0.26	0.43	6	22	125	0.55	0.0	4336f63f	11.5	0.9928	0.022
6.8	0.23	0.29	12.2	38	236	0.52	0.0	f65743b8	9.8	0.9976	0.035
6.1	0.34	0.27	2.6	20	105	0.67	0.0	6ce1f9c9	12.2	0.9906	0.024
7.3	0.26	0.31	1.6	39	173	0.51	0.0	598b506e	11.4	0.9918	0.04
6.5	0.3	0.32	2	34	90	0.68	0.0	ac92b59a	11	0.99185	0.044
7.3	0.26	0.31	1.6	39	173	0.51	0.0	b6b2ac61	11.4	0.9918	0.04
6.5	0.3	0.32	2	34	90	0.68	0.0	d9159c46	11	0.99185	0.044
5	0.31	0	6.4	43	166	0.63	0.0	a65813a3	9.9	0.994	0.046
5.8	0.26	0.18	1.2	40	114	0.4	0.0	8f5ad151	11	0.9908	0.031
5.9	0.26	0.3	1	38	114	0.48	0.0	8eaa139c	9.4	0.9928	0.036
7	0.31	0.29	1.4	33	128	0.36	0.0	1f4f57af	12.2	0.9896	0.037
5.8	0.26	0.18	1.2	40	114	0.4	0.0	f72c6c21	11	0.9908	0.031
5.6	0.19	0.39	1.1	17	67	0.53	0.0	a235dc58	10.3	0.9918	0.043
6.8	0.18	0.28	8.7	52	242	0.53	0.0	6f527942	10.5	0.9952	0.047
7	0.29	0.26	1.6	12	87	0.46	0.0	ae31250c	10.5	0.9923	0.044
6.6	0.26	0.29	1.4	13	67	0.49	0.0	4bf6a613	10.9	0.9915	0.039
6.8	0.18	0.28	8.5	52	242	0.53	0.0	fe7a45f7	10.5	0.9952	0.047
6.6	0.2	0.38	7.9	30	145	0.56	0.0	2c4f21ee	11	0.9947	0.052
8	0.29	0.29	13.2	26	113	0.37	0.0	fb5337d9	9.7	0.9983	0.046
6.1	0.28	0.35	12.8	63	229	0.4	0.0	c0b8fcaa	8.9	0.9975	0.048
5.9	0.31	0.3	7.7	60	206	0.39	0.0	7b8d8190	9.6	0.995	0.047
6.9	0.21	0.28	2.4	49	159	0.47	0.0	19deba78	8.8	0.9944	0.056
8.4	0.19	0.42	1.6	9	101	0.65	0.0	a390112e	11.1	0.994	0.047
8.3	0.27	0.45	1.3	8	72	0.61	0.0	dcde9db6	10.3	0.9944	0.048
7.1	0.25	0.39	2.1	30	124	0.43	0.0	0ad76c72	12.2	0.9908	0.036
8	0.23	0.37	9.6	23	159	0.47	0.0	59b346e2	9.8	0.99795	0.054
7.5	0.24	0.31	13	46	217	0.53	0.0	b1949d34	8.8	0.9985	0.049
6.3	0.33	0.2	5.8	24	144	0.63	0.0	c8c7dc60	9.9	0.99425	0.04
6.2	0.33	0.19	5.6	22	143	0.63	0.0	59f92487	9.9	0.99425	0.042
6.3	0.34	0.19	5.8	22	145	0.63	0.0	2a7890ac	9.9	0.9943	0.041
5.8	0.29	0.05	0.8	11	30	0.35	0.0	97719c38	9.2	0.9924	0.038
8	0.32	0.26	1.2	11.5	88	0.37	0.0	35c86dc9	9.5	0.9946	0.05
5.6	0.29	0.05	0.8	11	30	0.35	0.0	28f7d570	9.2	0.9924	0.038
7.4	0.13	0.39	4.7	36	137	0.56	0.0	42635b08	10.3	0.995	0.042
7.7	0.3	0.32	1.6	23	124	0.33	0.0	1c610bdc	11	0.9919	0.037
7	0.24	0.34	1.4	27	107	0.39	0.0	392393d5	11.9	0.99	0.031
8.6	0.18	0.4	1.1	20	107	0.32	0.0	1a391d1a	10.2	0.9923	0.04
7	0.11	0.32	4.6	59	144	0.44	0.0	6d5abfdf	9.4	0.9956	0.057
7.7	0.32	0.62	10.6	56	153	0.44	0.0	12234f1a	8.9	0.9978	0.036
7.7	0.32	0.62	10.6	56	153	0.44	0.0	57bc05b7	8.9	0.9978	0.036
6.5	0.26	0.27	12.9	69	215	0.43	0.0	b76c1f3e	10	0.9967	0.044
7.9	0.28	0.41	2	50	152	0.49	0.0	cf409873	10.7	0.9934	0.044
6.3	0.27	0.23	2.9	13	100	0.43	0.0	2b8746f2	9.8	0.9936	0.047
5.4	0.595	0.1	2.8	26	80	0.38	0.0	9b324547	9.3	0.9932	0.042
6.7	0.25	0.33	2.9	52	173	0.48	0.0	9574e923	9.5	0.9934	0.057
6.5	0.25	0.35	12	47	179	0.47	0.0	ead4c1d0	10	0.998	0.055
6.1	0.36	0.58	15	42	115	0.51	0.0	e86a9bf2	9	0.9978	0.044
7.7	0.17	0.52	5.9	21	84	0.4	0.0	af33cdc9	11.9	0.9929	0.017
6.4	0.26	0.43	12.6	64	230	0.38	0.0	81c9dfc3	8.9	0.9974	0.033
6.5	0.26	0.28	12.5	80	225	0.41	0.0	24efb164	10	0.99685	0.046
5.9	0.29	0.33	7.4	58	205	0.41	0.0	9fe17e4e	9.6	0.99495	0.037
6.2	0.28	0.43	13	64	233	0.38	0.0	2a6b1ec9	8.9	0.99745	0.039
6.1	0.27	0.44	6.7	61	230	0.4	0.0	5d78266d	8.9	0.99505	0.041
6.4	0.43	0.32	1.4	10	67	0.41	0.0	dd309cc9	11.4	0.992	0.048
6.1	0.36	0.58	15	42	115	0.51	0.0	d885ffcc	9	0.9978	0.044
6.2	0.35	0.29	7.3	56	244	0.55	0.0	7f6934d1	10	0.9956	0.044
7.7	0.24	0.29	15.3	39	194	0.47	0.0	9d4f347c	9.6	0.9982	0.044
6.2	0.34	0.28	7.5	40	197	0.6	0.0	b90841e5	9.7	0.99485	0.034
6.3	0.27	0.46	11.75	61	212	0.53	0.0	7d2f7e8a	9.5	0.9971	0.037
5.4	0.415	0.19	1.6	27	88	0.41	0.0	18f863cc	10	0.99265	0.039
6.9	0.48	0.36	3.5	31	135	0.38	0.0	213a3bc0	12.2	0.9904	0.03
6.5	0.18	0.33	8	16	131	0.44	0.0	85f8f527	8.7	0.9965	0.051
6.7	0.15	0.29	5	28	105	0.44	0.0	83f41d29	10.2	0.9946	0.058
8.2	0.345	1	18.2	55	205	0.43	0.0	73fa3fd3	9.6	0.99965	0.047
8.5	0.16	0.35	1.6	24	147	0.36	0.0	d5538dd4	10	0.9935	0.039
6.8	0.705	0.25	3.2	10	57	0.52	0.0	03fa35f1	9.5	0.996	0.048
7.3	0.25	0.39	6.4	8	84	0.46	0.0	db0f45f5	11.5	0.9942	0.034
7.6	0.345	0.26	1.9	15	134	0.38	0.0	72843652	9.5	0.9936	0.043
7.6	0.22	0.34	9.7	26	143	0.49	0.0	ed007925	9.8	0.9965	0.035
6.5	0.17	0.33	1.4	14	99	0.55	0.0	74d37bd7	10.1	0.9928	0.028
8.2	0.23	0.37	1.3	39	117	0.36	0.0	625a2209	10	0.9928	0.042
7.6	0.22	0.34	9.7	26	143	0.49	0.0	5bd36877	9.8	0.9965	0.035
7.6	0.345	0.26	1.9	15	134	0.38	0.0	2c35e7f0	9.5	0.9936	0.043
7.5	0.32	0.26	1.8	13	133	0.38	0.0	536efea1	9.5	0.9938	0.042
6.6	0.23	0.32	0.9	25	79	0.54	0.0	7f536c4f	10.2	0.9926	0.041
6.6	0.2	0.32	1.1	25	78	0.54	0.0	e4ea766b	10.2	0.9926	0.039
7.3	0.24	0.34	15.4	38	174	0.42	0.0	1b39ba9a	9	0.9983	0.05
7.3	0.24	0.34	15.4	38	174	0.42	0.0	0370f691	9	0.9983	0.05
8	0.42	0.36	5	34	101	0.57	0.0	7f4b3faf	12.3	0.992	0.037
7.3	0.24	0.34	15.4	38	174	0.42	0.0	65f69848	9	0.9983	0.05
6.1	0.19	0.25	4	23	112	0.51	0.0	09cc6214	11.6	0.9923	0.023
5.9	0.26	0.21	12.5	36	152	0.43	0.0	eccfd29a	9.5	0.9972	0.034
8.3	0.23	0.43	3.2	14	101	0.36	0.0	857ddf8c	11.5	0.9928	0.035
6.5	0.34	0.28	1.8	43	188	0.37	0.0	ec94c205	9.6	0.9928	0.041
6.8	0.22	0.35	17.5	38	153	0.42	0.0	3e34dea7	9	0.9994	0.039
6.5	0.08	0.33	1.9	23	93	0.7	0.0	db231994	12	0.991	0.028
5.5	0.42	0.09	1.6	18	68	0.51	0.0	c2d2afdc	11.4	0.9906	0.019
5.1	0.42	0.01	1.5	25	102	0.36	0.0	aca7365f	12.3	0.9894	0.017
6	0.27	0.19	1.7	24	110	0.47	0.0	44efdd05	12.6	0.9898	0.02
6.8	0.22	0.35	17.5	38	153	0.42	0.0	14284e13	9	0.9994	0.039
6.5	0.08	0.33	1.9	23	93	0.7	0.0	027c4257	12	0.991	0.028
7.1	0.13	0.38	1.8	14	114	0.9	0.0	2d87d530	11.7	0.9925	0.046
7.6	0.3	0.25	4.3	22	111	0.49	0.0	b04021d9	9.2	0.9956	0.054
6.6	0.13	0.3	4.9	47	131	0.45	0.0	4fcedf45	10.3	0.9946	0.058
6.5	0.14	0.33	7.6	53	189	0.49	0.0	15cc8810	8.6	0.9966	0.05
7.7	0.28	0.33	6.7	32	155	0.62	0.0	da8a1d06	10.7	0.9951	0.037
6	0.2	0.71	1.6	10	54	0.47	0.0	392554a1	9.8	0.9927	0.15
6	0.19	0.71	1.5	9	55	0.46	0.0	aaee51a4	9.8	0.9927	0.152
7.7	0.28	0.33	6.7	32	155	0.62	0.0	d8c68d18	10.7	0.9951	0.037
5.1	0.39	0.21	1.7	15	72	0.45	0.0	0e00b9f0	12.5	0.9894	0.027
5.7	0.36	0.34	4.2	21	77	0.45	0.0	1f2494ff	11.9	0.9907	0.026
6.9	0.19	0.33	1.6	63	149	0.52	0.0	120c50ff	10.8	0.9925	0.043
6	0.41	0.21	1.9	29	122	0.52	0.0	6e1c4f6c	10.5	0.9928	0.05
7.4	0.28	0.3	5.3	44	161	0.48	0.0	990d5c14	10.3	0.9941	0.054
7.4	0.3	0.3	5.2	45	163	0.45	0.0	997b97e9	10.3	0.9941	0.053
6.9	0.19	0.33	1.6	63	149	0.52	0.0	2dd9f971	10.8	0.9925	0.043
7.7	0.28	0.39	8.9	8	117	0.38	0.0	cbc6dcac	12	0.9935	0.036
8.6	0.16	0.38	3.4	41	143	0.39	0.0	f3ceb479	10.2	0.9932	0.04
8.2	0.26	0.44	1.3	7	69	0.62	0.0	daff3b04	10.2	0.9944	0.046
6.5	0.25	0.27	15.2	75	217	0.39	0.0	a9671e70	9.9	0.9972	0.049
7	0.24	0.18	1.3	9	62	0.47	0.0	f2e12db8	10.1	0.994	0.046
8.6	0.18	0.36	1.8	24	187	0.55	0.0	a8d02e92	9.5	0.9956	0.04
7.8	0.27	0.34	1.6	27	154	0.45	0.0	e0720645	10.5	0.9927	0.046
6	0.26	0.34	1.3	6	29	0.63	0.0	c881821d	10.4	0.9924	0.046
6.1	0.24	0.27	9.8	33	152	0.47	0.0	da8462e8	9.5	0.9966	0.062
8	0.24	0.3	17.45	43	184	0.5	0.0	d6eeea44	9.2	0.9997	0.056
7.6	0.21	0.6	2.1	47	165	0.54	0.0	ac1747a5	10.1	0.9936	0.046
8	0.19	0.36	1.8	16	84	0.45	0.0	78b33fca	9.8	0.9936	0.05
6.4	0.28	0.41	6.8	61	216	0.46	0.0	16968ad9	9.4	0.9952	0.045
6.4	0.28	0.43	7.1	60	221	0.45	0.0	823f5322	9.4	0.9952	0.045
6.9	0.24	0.39	1.3	18	136	0.48	0.0	e49c5f49	10.4	0.9928	0.063
5.8	0.36	0.26	3.3	40	153	0.55	0.0	230e0cd1	11.3	0.9911	0.038
6.6	0.18	0.28	3.3	18	91	0.64	0.0	9b89ccb5	10.8	0.993	0.044
5.8	0.36	0.26	3.3	40	153	0.55	0.0	b2bc1bdb	11.3	0.9911	0.038
5.1	0.52	0.06	2.7	30	79	0.43	0.0	fd4325e3	9.3	0.9932	0.052
6.6	0.22	0.37	1.2	45	199	0.55	0.0	30f2a503	10.3	0.993	0.059
8.3	0.15	0.39	1.3	32	146	0.39	0.0	109a3791	10.5	0.993	0.055
7.6	0.16	0.44	1.4	25	109	0.75	0.0	074e93a6	10.3	0.9932	0.043
7.7	0.16	0.41	1.7	60	173	0.66	0.0	d905e606	11.2	0.9932	0.048
8.3	0.16	0.48	1.7	31	98	0.41	0.0	42a9216c	10.3	0.9943	0.057
6.2	0.25	0.47	11.6	62	210	0.5	0.0	323f9e9f	9.5	0.9968	0.048
6.1	0.16	0.27	12.6	63	162	0.43	0.0	128f290f	8.9	0.9994	0.064
7.6	0.39	0.22	2.8	19	113	0.29	0.0	214971e4	10.2	0.9926	0.036
6.8	0.37	0.47	11.2	44	136	0.88	0.0	2c673132	9.2	0.9968	0.071
7.6	0.16	0.44	1.4	25	109	0.75	0.0	01d184e0	10.3	0.9932	0.043
7.1	0.18	0.42	1.4	47	157	0.31	0.0	30ce8ffb	10.5	0.9916	0.045
8.3	0.14	0.26	1.5	56	189	0.62	0.0	b0d2f9d9	9.5	0.9946	0.049
8.6	0.2	0.42	1.5	35	125	0.49	0.0	35a1a31b	11.4	0.9925	0.041
8.6	0.2	0.42	1.5	35	125	0.49	0.0	ca7d7dc9	11.4	0.9925	0.041
6.8	0.19	0.32	7.05	54	188	0.37	0.0	c4bc3edb	11.1	0.9935	0.019
7.6	0.19	0.38	10.6	48	174	0.38	0.0	e70bf04a	10.5	0.9962	0.06
6.8	0.34	0.74	2.8	23	185	0.7	0.0	d5fd85e1	12	0.9928	0.088
6.2	0.15	0.46	1.6	38	123	0.51	0.0	0cc8e99c	9.7	0.993	0.039
6.6	0.14	0.44	1.6	47	140	0.51	0.0	3ae189a3	10.2	0.993	0.042
8	0.55	0.17	8.2	13	60	0.3	0.0	f61cff46	9.5	0.9956	0.04
7	0.24	0.35	1.5	51	128	0.59	0.0	c18dfd65	10.4	0.9941	0.052
6.3	0.6	0.44	11	50	245	0.57	0.0	53e7465c	9.3	0.9972	0.05
7.1	0.2	0.41	2.1	24	166	0.62	0.0	7af04aa0	10.5	0.9948	0.054
6.2	0.34	0.29	7.6	45	232	0.62	0.0	79a92143	10	0.9955	0.047
7.1	0.3	0.36	6.8	44.5	234	0.64	0.0	cf51d502	10.2	0.9972	0.055
7.1	0.3	0.36	6.8	44.5	234	0.64	0.0	4b90ca04	10.2	0.9972	0.055
7.9	0.64	0.46	10.6	33	227	0.74	0.0	d98f48aa	9.1	0.9983	0.244
8.8	0.17	0.38	1.8	39	148	0.67	0.0	3829a4d4	10.2	0.9942	0.04
7.5	0.17	0.37	1.5	18	75	0.88	0.0	6cbaebd3	10.7	0.9936	0.06
7.1	0.47	0.24	6	11	77	0.56	0.0	d1d56a23	9.7	0.9956	0.044
7.1	0.15	0.34	5.3	33	104	0.52	0.0	3f7c8d1f	9.3	0.9953	0.034
7.5	0.17	0.34	1.4	13	102	0.74	0.0	53ef2a7e	11	0.9918	0.035
8.2	0.68	0.3	2.1	17	138	0.71	0.0	24419f65	10.8	0.995	0.047
7.7	0.275	0.3	1	19	75	0.56	0.0	cd27db85	10.7	0.992	0.039
7.3	0.49	0.32	5.2	18	104	0.45	0.0	ff248a90	10.7	0.9952	0.043
7.5	0.33	0.48	19.45	55	243	0.4	0.0	0ee72bdf	8.8	1.001	0.048
7.2	0.21	0.37	1.6	23	94	0.48	0.0	d17c9cf8	10.9	0.9924	0.049
7.3	0.15	0.4	2	24	92	0.45	0.0	1a921962	10.5	0.9932	0.05
6.5	0.19	0.1	1.3	23	107	0.45	0.0	45ddc4d0	10	0.9937	0.046
7	0.31	0.52	1.7	5	61	0.43	0.0	74666ffe	10.4	0.9918	0.029
8.3	0.4	0.38	1.1	15	75	0.43	0.0	0d58247d	9.2	0.9934	0.038
6.1	0.37	0.36	4.7	36	116	0.62	0.0	be751acb	12.6	0.991	0.035
7.3	0.24	0.34	7.5	29	152	0.54	0.0	732bd284	9	0.9962	0.048
6.9	0.21	0.81	1.1	52	123	0.39	0.0	16f66541	9.2	0.9932	0.137
7.6	0.29	0.42	1.3	18	86	0.39	0.0	0a3e0726	11.3	0.9908	0.035
9.4	0.29	0.55	2.2	17	119	0.69	0.0	f5cd972f	10.3	0.9962	0.05
7	0.31	0.52	1.7	5	61	0.43	0.0	d3d7aa20	10.4	0.9918	0.029
8.6	0.26	0.41	2.2	29	111	0.44	0.0	3d55e761	10	0.9941	0.049
7.5	0.21	0.34	1.2	26	111	0.47	0.0	d987aa19	10.7	0.9931	0.06
7.2	0.51	0.24	10	35	197	0.47	0.0	9862cb91	9	0.9981	0.093
7.5	0.21	0.34	1.2	26	111	0.47	0.0	5f684191	10.7	0.9931	0.06
5.3	0.3	0.2	1.1	48	166	0.54	0.0	261552cd	8.7	0.9944	0.077
8	0.26	0.36	2	30	121	0.72	0.0	528d8c6a	11.6	0.992	0.054
7	0.21	0.28	7.5	45	185	0.55	0.0	35d12ccf	9.4	0.9966	0.07
6.7	0.26	0.26	4	35.5	216	0.68	0.0	66601dd1	9.5	0.9956	0.079
6.7	0.26	0.26	4.1	36	202	0.67	0.0	18f8e3f0	9.5	0.9956	0.073
8.1	0.26	0.37	1.9	48	159	0.7	0.0	15d9e8ec	10.9	0.9949	0.072
8.3	0.22	0.38	14.8	32	126	0.5	0.0	2916f91c	9.7	1.0002	0.054
6.4	0.3	0.51	5.5	62	172	0.45	0.0	7f70d175	9.1	0.9942	0.048
7.5	0.19	0.34	2.6	33	125	0.49	0.0	f51ef848	11.1	0.9923	0.037
8.8	0.33	0.44	6.35	9	87	0.4	0.0	084bcbaf	12.6	0.9917	0.024
6.9	0.2	0.36	1.5	38	147	0.56	0.0	eedb10ff	11	0.9931	0.031
8	0.37	0.32	1.6	32	166	0.55	0.0	d47ab199	11.3	0.992	0.04
8.3	0.22	0.38	14.8	32	126	0.5	0.0	5e2ff58c	9.7	1.0002	0.054
8.2	0.29	0.33	9.1	28	118	0.4	0.0	3184a765	10.9	0.9953	0.036
7.7	0.34	0.3	8	25	192	0.47	0.0	8f4beeea	10.9	0.9951	0.048
6.2	0.55	0.45	12	27	186	0.5	0.0	31c73847	9.3	0.9974	0.049
6.4	0.4	0.19	3.2	28	124	0.54	0.0	a9fcffc1	12.7	0.9904	0.033
7.5	0.28	0.33	7.7	42	180	0.59	0.0	7a8ba3e3	10.1	0.9974	0.048
7.8	0.26	0.44	1.3	43	132	0.65	0.0	9c1bf0dd	10	0.9944	0.037
6.5	0.26	0.34	16.3	56	197	0.42	0.0	5f448a66	9.8	1.0004	0.051
6.3	0.34	0.29	6.2	29	227	0.53	0.0	46820ee6	10.1	0.9952	0.046
6.8	0.15	0.33	4.7	31	118	0.39	0.0	1a189f8c	9	0.9956	0.059
6.3	0.27	0.25	5.8	52	155	0.38	0.0	e720d524	9.4	0.995	0.038
6.3	0.27	0.25	5.8	52	155	0.38	0.0	a50d62ab	9.4	0.995	0.038
7.4	0.2	0.37	16.95	43	190	0.42	0.0	954a401c	9.2	0.9995	0.048
6.3	0.23	0.21	5.1	29	142	0.33	0.0	b71457f6	10.1	0.9942	0.035
7.3	0.31	0.69	10.2	58	160	0.45	0.0	6c55e8a5	8.6	0.9977	0.041
5.2	0.24	0.45	3.8	21	128	0.49	0.0	30b7d925	11.2	0.992	0.027
7	0.24	0.32	1.3	39	123	0.42	0.0	896f03eb	11.2	0.992	0.037
7.4	0.2	0.37	16.95	43	190	0.42	0.0	2ca12314	9.2	0.9995	0.048
7	0.17	0.33	4	17	127	0.39	0.0	7a107d6d	10.6	0.9934	0.034
8.3	0.21	0.58	17.1	62	213	0.51	0.0	48718c93	9.3	1.0006	0.049
7.2	0.21	0.35	14.5	35	178	0.47	0.0	8f62abde	8.9	0.9982	0.048
7.1	0.21	0.4	1.2	24	156	0.43	0.0	7566d227	10.6	0.9928	0.069
8.4	0.17	0.31	6.7	29	132	0.32	0.0	0fe21247	10.6	0.9945	0.038
7.4	0.24	0.31	8.4	52	183	0.32	0.0	9607c6d9	8.8	0.9963	0.045
5.3	0.24	0.33	1.3	25	97	0.38	0.0	c7e6c0b6	11	0.9906	0.033
6.5	0.28	0.26	8.8	44	139	0.37	0.0	658da5b6	10.2	0.9956	0.04
6.3	0.23	0.21	5.1	29	142	0.33	0.0	c2ecde7e	10.1	0.9942	0.035
6.5	0.29	0.25	10.6	32	120	0.34	0.0	3e123c60	10.1	0.9962	0.039
5.8	0.29	0.21	2.6	12	120	0.79	0.0	ee9ba870	14	0.9894	0.025
6.3	0.27	0.25	5.8	52	155	0.38	0.0	de127443	9.4	0.995	0.038
6.3	0.17	0.42	2.8	45	107	0.43	0.0	70ca0d37	11.8	0.9908	0.028
6.3	0.16	0.4	1.6	59	148	0.53	0.0	f17fca25	11.4	0.9914	0.033
7.9	0.29	0.39	6.7	6	117	0.42	0.0	6ef3fe1f	10.7	0.9938	0.036
7.3	0.31	0.69	10.2	58	160	0.45	0.0	9dd340d1	8.6	0.9977	0.041
5.5	0.32	0.45	4.9	25	191	0.49	0.0	ae72a646	11.5	0.9922	0.028
5.2	0.24	0.45	3.8	21	128	0.49	0.0	9a18f181	11.2	0.992	0.027
7.2	0.37	0.15	2	27	87	0.59	0.0	c672902e	12.6	0.9903	0.029
6.1	0.29	0.27	1.7	13	76	0.51	0.0	313dcfbc	12.6	0.9893	0.024
9.2	0.22	0.4	2.4	18	151	0.46	0.0	133da510	9.3	0.9952	0.054
7.2	0.37	0.15	2	27	87	0.59	0.0	1f151820	12.6	0.9903	0.029
8	0.18	0.37	1.3	15	96	0.61	0.0	a293042f	12.1	0.9912	0.04
6.5	0.22	0.34	12	55	177	0.44	0.0	0b207bed	9.9	0.9983	0.053
7.4	0.18	0.4	1.6	22	102	0.44	0.0	1871e969	10.7	0.9937	0.047
6.5	0.52	0.17	1.4	5	26	0.32	0.0	a0d7dc14	10	0.9932	0.047
7	0.15	0.38	2.2	33	96	0.39	0.0	387a0fcf	10.4	0.9928	0.047
5.9	0.415	0.13	1.4	11	64	0.52	0.0	b00fe8de	10.5	0.9922	0.04
8.1	0.45	0.34	8.3	33	216	0.64	0.0	3575ba5b	9.7	0.9976	0.037
5.8	0.415	0.13	1.4	11	64	0.52	0.0	b9ba4e67	10.5	0.9922	0.04
6.4	0.5	0.16	12.9	26	138	0.33	0.0	eb7576ae	9	0.9974	0.042
6.7	0.105	0.32	12.4	34	106	0.45	0.0	0cb3c2b5	9.2	0.998	0.051
6	0.4	0.3	1.6	30	117	0.48	0.0	695e2200	10.1	0.9931	0.047
6.6	0.25	0.39	1.45	40	89	0.4	0.0	0fde282f	11.4	0.9911	0.04
9.8	0.36	0.45	1.6	11	124	0.46	0.0	69f7dd91	10.8	0.9944	0.042
9.6	0.23	0.4	1.5	19	135	0.49	0.0	bc4022cf	10.9	0.9937	0.044
6.3	0.55	0.45	13	33	182	0.46	0.0	f74df436	9.2	0.9974	0.047
6.5	0.115	0.29	1.95	73	166	0.25	0.0	6ba41a38	12.9	0.989	0.038
6.4	0.125	0.29	5.85	24	99	0.32	0.0	452dc7e3	12	0.992	0.042
5.7	0.1	0.27	1.3	21	100	0.46	0.0	79967585	9.5	0.9928	0.047
7.9	0.25	0.29	5.3	33	117	0.32	0.0	06b08dfe	11.8	0.9918	0.031
6.9	0.2	0.28	1.2	36	159	0.43	0.0	2f8227ab	9.1	0.9936	0.048
6.9	0.23	0.34	4	24	128	0.52	0.0	deb8a257	9.7	0.9944	0.047
6.8	0.39	0.31	14.35	28	162	0.54	0.0	02b0c4b2	9.1	0.9988	0.043
8.7	0.22	0.42	2.3	27	114	0.43	0.0	45c87c49	10	0.994	0.053
7.4	0.41	0.34	4.7	19	127	0.42	0.0	db4433fe	10.4	0.9953	0.042
6.7	0.25	0.34	12.85	30	161	0.47	0.0	d0f87245	9.5	0.9986	0.048
6	0.26	0.42	5.2	70	178	0.4	0.0	edff9150	12.3	0.9914	0.027
6.1	0.31	0.37	8.4	70	170	0.4	0.0	02ad8bab	11.7	0.9934	0.031
9.2	0.28	0.46	3.2	39	133	0.58	0.0	d5287937	9.5	0.996	0.058
9	0.31	0.49	6.9	26	91	0.34	0.0	708b1427	11.5	0.9937	0.034
8.5	0.16	0.33	1	17	57	0.46	0.0	d2edc248	10.6	0.9921	0.076
9.3	0.34	0.49	7.3	30	146	0.61	0.0	2e0be395	10.2	0.998	0.052
9.2	0.28	0.46	3.2	39	133	0.58	0.0	1b345b6f	9.5	0.996	0.058
7.2	0.24	0.3	1.6	27	131	0.45	0.0	f1df70ee	10.5	0.9933	0.048
7.2	0.25	0.32	1.5	27	132	0.44	0.0	41f5793d	10.5	0.9933	0.047
6.8	0.32	0.18	7.5	71	223	0.41	0.0	3e7167b6	8.9	0.9959	0.041
9.1	0.27	0.32	1.1	15	151	0.41	0.0	6028f1ff	10.6	0.9936	0.031
8.9	0.34	0.32	1.3	12	188	0.49	0.0	4cb00076	9.5	0.9953	0.041
7	0.17	0.37	5.7	29	111	0.49	0.0	7220faf8	10.8	0.9938	0.025
6.7	0.25	0.23	7.2	61	220	0.35	0.0	3d52c95d	9.5	0.9952	0.038
6.9	0.32	0.17	7.6	69	219	0.4	0.0	d56651ee	8.9	0.9959	0.042
6.8	0.32	0.18	7.5	71	223	0.41	0.0	218ff41a	8.9	0.9959	0.041
6.1	0.6	0	1.3	24	79	0.38	0.0	1d387077	9.4	0.9937	0.042
5.3	0.395	0.07	1.3	26	102	0.35	0.0	6095503c	10.6	0.992	0.035
7.9	0.16	0.3	4.8	37	171	0.44	0.0	2e01588a	9	0.9967	0.037
7.6	0.33	0.36	2.1	26	172	0.48	0.0	8233edce	10.5	0.9944	0.034
7.8	0.3	0.29	16.85	23	135	0.38	0.0	507f3464	9	0.9998	0.054
7.8	0.3	0.29	16.85	23	135	0.38	0.0	61b37f74	9	0.9998	0.054
5.7	0.26	0.27	4.1	73.5	189.5	0.38	0.0	7b19ef41	9.4	0.9942	0.201
7.8	0.3	0.29	16.85	23	135	0.38	0.0	9fb7a9e0	9	0.9998	0.054
7.5	0.14	0.34	1.3	50	153	0.8	0.0	eb9abca6	9.6	0.9945	0.055
7.8	0.3	0.29	16.85	23	135	0.38	0.0	c2994369	9	0.9998	0.054
6.6	0.25	0.41	7.4	29	151	0.6	0.0	fdf62bbb	10.2	0.9946	0.043
5.7	0.26	0.27	4.1	73.5	189.5	0.38	0.0	a21070c8	9.4	0.9942	0.201
8.2	0.23	0.49	0.9	15	73	0.38	0.0	78f5e9f7	10.4	0.9928	0.057
6	0.24	0.32	6.3	34	129	0.41	0.0	ac1fdcbb	10.4	0.9946	0.03
6.1	0.45	0.27	0.8	13	82	0.32	0.0	53aa9b0f	9.5	0.9927	0.039
7.4	0.23	0.43	1.4	22	113	0.62	0.0	89cbfea8	10.6	0.9938	0.044
7.2	0.2	0.38	1	21	74	0.37	0.0	5f2fc08c	11	0.9918	0.037
7.5	0.14	0.34	1.3	50	153	0.8	0.0	b6f68f9c	9.6	0.9945	0.055
7.7	0.25	0.43	4.5	20	115	0.5	0.0	a5a47f57	9.9	0.9966	0.062
8.2	0.61	0.45	5.4	15	118	0.34	0.0	d1b78b73	9.6	0.9954	0.03
7.6	0.21	0.44	1.9	10	119	0.7	0.0	5755635e	12.8	0.9913	0.036
7.4	0.22	0.33	2	31	101	0.55	0.0	5e06b248	11.4	0.9931	0.045
7.2	0.26	0.26	12.7	49	214	0.5	0.0	611c0d32	10	0.9986	0.036
6.4	0.25	0.41	8.6	57	173	0.44	0.0	c70ddff9	9.1	0.9965	0.042
6.3	0.32	0.35	11.1	29	198	0.5	0.0	5797ae66	9.4	0.9984	0.039
6.8	0.25	0.29	2	19	189	0.54	0.0	d53252b8	10.2	0.9952	0.042
9.8	0.44	0.4	2.8	35	167	0.39	0.0	5927bf00	9.2	0.9956	0.036
7.2	0.2	0.25	4.5	31	109	0.36	0.0	a7ce8f74	9.4	0.9949	0.044
8.2	0.61	0.45	5.4	15	118	0.34	0.0	fa732dfb	9.6	0.9954	0.03
7.5	0.42	0.45	9.1	20	125	0.36	0.0	51529e00	10.1	0.996	0.029
7.4	0.22	0.33	2	31	101	0.55	0.0	a1c96403	11.4	0.9931	0.045
6.4	0.26	0.3	2.2	33	134	0.47	0.0	18a8373a	10.6	0.992	0.025
7.9	0.46	0.32	4.1	40	138	0.44	0.0	7f96d3d1	12.8	0.9912	0.033
6.5	0.41	0.64	11.8	65	225	0.51	0.0	aa018a93	8.9	0.9978	0.065
7.5	0.32	0.37	1.2	22	184	0.43	0.0	ba476ade	9.3	0.9938	0.048
6.6	0.21	0.38	2.2	40	104	0.4	0.0	3762d078	11.1	0.9914	0.026
7.1	0.21	0.3	1.4	45	143	0.33	0.0	9254125c	9.9	0.9932	0.037
7.6	0.26	0.47	1.6	5	55	0.45	0.0	827ab0ca	9.6	0.9944	0.068
7.6	0.21	0.44	1.9	10	119	0.7	0.0	84d4ed3b	12.8	0.9913	0.036
6.9	0.25	0.26	5.2	36	135	0.72	0.0	176e177b	10.7	0.9948	0.024
7.1	0.26	0.32	14.45	29	107	0.42	0.0	be1ac7a3	9.2	0.998	0.074
7.3	0.22	0.4	14.75	44.5	129.5	0.41	0.0	865974dd	9.1	0.9998	0.042
6.2	0.37	0.22	8.3	36	216	0.6	0.0	17cfc9b6	9.6	0.9964	0.025
7.9	0.22	0.45	14.2	53	141	0.46	0.0	9150ba15	9.2	0.9992	0.038
6.9	0.25	0.26	5.2	36	135	0.72	0.0	ca172e96	10.7	0.9948	0.024
7.3	0.22	0.4	14.75	44.5	129.5	0.41	0.0	515abb21	9.1	0.9998	0.042
7.1	0.26	0.32	14.45	29	107	0.42	0.0	940d6906	9.2	0.998	0.074
7.4	0.25	0.37	6.9	14	93	0.48	0.0	03b53182	10.7	0.9939	0.02
6.8	0.18	0.37	1.5	37	93	0.45	0.0	4e4f0b90	10.8	0.992	0.027
7	0.17	0.37	1.5	26	75	0.46	0.0	acdcdb36	10.8	0.9922	0.028
6.4	0.3	0.38	7.8	35	192	0.37	0.0	e7a58cea	9	0.9955	0.046
5	0.33	0.16	1.5	10	97	0.44	0.0	6c2cdffe	10.7	0.9917	0.049
5	0.33	0.16	1.5	10	97	0.44	0.0	4e01d755	10.7	0.9917	0.049
8.9	0.33	0.32	1.5	11	200	0.46	0.0	76504f6b	9.4	0.9954	0.047
7	0.26	0.46	15.55	61	171	0.35	0.0	7027bb2c	8.8	0.9986	0.037
6.4	0.3	0.38	7.8	35	192	0.37	0.0	347f26f7	9	0.9955	0.046
6.3	0.21	0.4	1.7	48	134	0.49	0.0	4cb43242	11.5	0.9917	0.031
8	0.23	0.46	1.5	30	125	0.47	0.0	f16cd81a	12.5	0.9907	0.03
9.2	0.28	0.41	1	14	59	0.25	0.0	02135156	10.5	0.9922	0.042
7.3	0.27	0.39	6.7	28	188	0.3	0.0	5a2d3ede	9.7	0.9958	0.064
7.6	0.32	0.36	1.6	32	155	0.52	0.0	39dbd4bb	11.3	0.993	0.04
5	0.33	0.16	1.5	10	97	0.44	0.0	46a97ac5	10.7	0.9917	0.049
9.7	0.24	0.45	1.2	11	59	0.47	0.0	404a0e64	10.8	0.9926	0.033
8	0.28	0.42	7.1	41	169	0.43	0.0	657ad0b4	10.6	0.9959	0.045
8.2	0.37	0.36	1	17	93	0.32	0.0	d3e8f000	11.7	0.9906	0.034
8	0.61	0.38	12.1	24	220	0.48	0.0	4b4aa7be	9.2	0.9993	0.301
7.2	0.26	0.44	7.1	25	126	0.34	0.0	225d2852	11.1	0.993	0.027
8.2	0.37	0.36	1	17	93	0.32	0.0	f58dcbd6	11.7	0.9906	0.034
6.4	0.23	0.33	1.15	15.5	217.5	0.44	0.0	6b4d6541	11	0.992	0.044
5.9	0.4	0.32	6	50	127	0.58	0.0	d2ad2fff	12.5	0.992	0.034
7.6	0.28	0.39	1.2	21	115	0.67	0.0	1d2c822a	10	0.994	0.038
8	0.28	0.42	7.1	41	169	0.43	0.0	fb7ff9d9	10.6	0.9959	0.045
7.2	0.23	0.39	2.3	29	102	0.54	0.0	b5946bac	12.3	0.9908	0.033
6.8	0.32	0.37	3.4	19	87	0.53	0.0	211c40d2	12.7	0.9902	0.023
7.2	0.23	0.39	2.3	29	102	0.54	0.0	29386551	12.3	0.9908	0.033
6.9	0.18	0.38	6.5	20	110	0.42	0.0	80fc271a	10.5	0.9943	0.039
9.4	0.26	0.53	1.2	25	109	0.28	0.0	8bef05ab	12.5	0.9921	0.047
8.3	0.33	0.42	1.15	18	96	0.32	0.0	4cf3bc8b	12.4	0.9911	0.033
7.3	0.29	0.3	13	46	238	0.41	0.0	001e3c0e	8.7	0.9986	0.043
7.9	0.41	0.37	4.5	40	114	0.54	0.0	aab2014e	12.4	0.992	0.03
7.9	0.44	0.37	5.85	27	93	0.54	0.0	172f371e	12.6	0.992	0.033
7.7	0.39	0.3	5.2	29	131	0.44	0.0	d15e89bc	11	0.9943	0.037
7.7	0.26	0.31	1.3	47	155	0.5	0.0	dd5c8ab5	10.1	0.9937	0.043
7.8	0.32	0.31	1.7	46	195	0.48	0.0	f988d725	10.5	0.993	0.036
6.8	0.32	0.37	3.4	19	87	0.53	0.0	6f5baad4	12.7	0.9902	0.023
7.3	0.24	0.39	3.6	35	116	0.51	0.0	99df74b0	10.9	0.9928	0.024
7.1	0.44	0.37	2.7	35	128	0.43	0.0	bfa8e4f7	13.5	0.9896	0.041
10.3	0.25	0.48	2.2	28	164	0.59	0.0	d2a709db	9.7	0.998	0.042
7.9	0.14	0.28	1.8	44	178	0.43	0.0	4f5cb864	9.2	0.9954	0.041
7.4	0.18	0.42	2.1	33	187	0.41	0.0	d2faf114	10.6	0.9938	0.036
8.1	0.43	0.42	6.6	36	141	0.39	0.0	e5750261	13.3	0.9918	0.033
7.1	0.44	0.37	2.7	35	128	0.43	0.0	0f9acfec	13.5	0.9896	0.041
6.4	0.26	0.22	5.1	23	131	0.32	0.0	e9c8f925	10.1	0.9944	0.037
8	0.66	0.72	17.55	62	233	0.68	0.0	826c1504	9.4	0.9999	0.042
8	0.2	0.4	5.2	41	167	0.4	0.0	c3bd1e48	10.6	0.9953	0.055
7.2	0.21	0.34	1.1	25	80	0.4	0.0	2d6502f9	11.3	0.992	0.046
7.2	0.18	0.31	1.1	20	73	0.4	0.0	a7f2ea91	10.8	0.9925	0.045
8.4	0.57	0.44	10.7	46	195	0.51	0.0	d0d4e44e	10.4	0.9981	0.051
5.3	0.26	0.23	5.15	48	160	0.51	0.0	e407628e	10.5	0.9952	0.034
5.7	0.245	0.33	1.1	28	150	0.42	0.0	edf6ae55	9.3	0.9927	0.049
5.6	0.245	0.32	1.1	24	152	0.42	0.0	c902eb9d	9.3	0.9927	0.047
7.3	0.25	0.41	1.8	52	165	0.39	0.0	43d711ae	12.2	0.9911	0.037
7	0.16	0.73	1	58	150	0.3	0.0	a58a53bf	9.2	0.9936	0.138
6.4	0.22	0.34	1.8	29	104	0.57	0.0	cdccc2ff	10.3	0.9959	0.057
7.3	0.18	0.65	1.4	28	157	0.62	0.0	287f033d	9.4	0.9946	0.046
6.4	0.17	0.27	6.7	88	223	0.35	0.0	ef771019	10.2	0.9948	0.036
6.9	0.29	0.16	6.8	65	212	0.39	0.0	52fcfa02	9	0.9955	0.034
6.2	0.21	0.38	6.8	64	245	0.36	0.0	16010205	9.3	0.9951	0.036
6.4	0.23	0.3	7.1	63	236	0.34	0.0	2273d146	9.2	0.9952	0.037
7.3	0.19	0.68	1.5	31	156	0.64	0.0	a6e3a237	9.4	0.9946	0.05
7.3	0.18	0.65	1.4	28	157	0.62	0.0	40cdd53f	9.4	0.9946	0.046
9.6	0.29	0.46	1.45	77.5	223	0.46	0.0	83d8cf95	9.5	0.9944	0.039
7.2	0.14	0.35	1.2	15	73	0.39	0.0	826a0b46	9.9	0.9938	0.036
6.9	0.31	0.34	7.4	36	174	0.62	0.0	1239421e	11.1	0.9963	0.059
7.5	0.28	0.34	4.2	36	116	0.41	0.0	1281a4f1	12.3	0.991	0.028
8	0.22	0.42	14.6	45	163	0.69	0.0	fd9faf05	8.6	1.0003	0.044
7.6	0.31	0.29	10.5	21	145	0.35	0.0	36a1745e	9.4	0.9966	0.04
8.4	0.35	0.56	13.8	55	190	0.58	0.0	995b7821	9.4	0.9993	0.048
8	0.22	0.42	14.6	45	163	0.69	0.0	85cd8287	8.6	1.0003	0.044
8.1	0.5	0.47	1.1	23	126	0.42	0.0	58679ec8	10.9	0.9938	0.037
7	0.39	0.31	5.3	32	162	0.48	0.0	684520d3	9.4	0.9965	0.169
8.1	0.5	0.47	1.1	23	126	0.42	0.0	cbc6bd23	10.9	0.9938	0.037
8.4	0.35	0.56	13.8	55	190	0.58	0.0	69d9dab4	9.4	0.9993	0.048
6.2	0.22	0.27	1.5	20	132	0.46	0.0	60c77f47	9.2	0.9938	0.064
8	0.22	0.42	14.6	45	163	0.69	0.0	f5b2d905	8.6	1.0003	0.044
7.6	0.31	0.29	10.5	21	145	0.35	0.0	f9796899	9.4	0.9966	0.04
7	0.24	0.36	4.9	10	133	0.37	0.0	17faaffd	10.8	0.9942	0.083
6.6	0.27	0.3	1.9	14	153	0.62	0.0	57807350	10.5	0.9928	0.025
7.8	0.16	0.41	1.7	29	140	0.78	0.0	d00f17d6	12.5	0.991	0.026
7.7	0.27	0.34	1.8	26	168	0.48	0.0	69fa3311	12.1	0.9911	0.028
7.4	0.31	0.74	10.7	51	147	0.43	0.0	3529e0b5	8.7	0.9977	0.039
8	0.45	0.36	8.8	50	151	0.25	0.0	8c78bad3	12.7	0.9927	0.026
7.7	0.27	0.34	1.8	26	168	0.48	0.0	1b97bada	12.1	0.9911	0.028
7.8	0.16	0.41	1.7	29	140	0.78	0.0	37bb9018	12.5	0.991	0.026
6.6	0.16	0.29	1.8	40	147	0.44	0.0	9db843e1	11.4	0.9912	0.05
8.3	0.21	0.4	1.6	35	110	0.6	0.0	0a1cc857	12.9	0.9907	0.032
7.2	0.32	0.33	1.4	29	109	0.51	0.0	80c085cf	12.8	0.9902	0.029
6.6	0.16	0.3	1.6	15	78	0.44	0.0	14be7481	11.2	0.992	0.034
8.4	0.16	0.33	1.5	16	98	0.42	0.0	ea91b830	9.7	0.994	0.033
7.5	0.23	0.32	9.2	54	191	0.56	0.0	d0f3b8c3	9.7	0.9966	0.038
6.2	0.17	0.3	1.1	14	79	0.54	0.0	200cbef0	10.3	0.993	0.037
6.9	0.39	0.22	4.3	10	102	0.87	0.0	b063ca70	11.6	0.993	0.03
6.9	0.41	0.22	4.2	10	102	0.86	0.0	91092f31	11.6	0.993	0.031
7.5	0.23	0.32	9.2	54	191	0.56	0.0	f0960c5f	9.7	0.9966	0.038
7.5	0.38	0.33	5	30	131	0.44	0.0	64c75c02	10.9	0.9942	0.045
7.3	0.42	0.38	6.8	29	122	0.37	0.0	f1c2b702	12.6	0.9925	0.045
7.3	0.34	0.39	5.2	45	163	0.47	0.0	de4eb921	12.4	0.9925	0.04
7.8	0.23	0.28	4.75	45	166	0.4	0.0	a5a46b9c	11.5	0.9928	0.042
9	0.245	0.38	5.9	52	159	0.35	0.0	39ba8b8a	10.2	0.995	0.045
6.9	0.2	0.4	7.7	51	176	0.27	0.0	5681a1ec	11.4	0.9939	0.032
7.4	0.19	0.42	6.4	39	212	0.33	0.0	488a4d87	9.6	0.9958	0.067
8.2	0.2	0.36	8.1	60	163	0.3	0.0	34547d82	10.3	0.9952	0.035
8	0.59	0.71	17.35	61	228	0.75	0.0	3ff9e449	9.3	1	0.038
7.9	0.14	0.45	1.8	17	114	0.49	0.0	52e2dc95	10.7	0.9948	0.05
6.8	0.24	0.4	1.8	34	105	0.49	0.0	f39a0e83	12.8	0.99	0.047
9.7	0.14	0.59	1.5	23	142	0.62	0.0	6199431f	9.5	0.9958	0.049
9.2	0.15	0.68	1.6	22	130	0.45	0.0	3c238ed0	10.4	0.9948	0.046
9.4	0.17	0.55	1.6	14	94	0.61	0.0	5e29612d	10.3	0.9949	0.049
5.2	0.365	0.08	13.5	37	142	0.39	0.0	23a073db	9.9	0.997	0.041
6.3	0.23	0.22	3.75	37	116	0.5	0.0	6ad237db	10.7	0.9927	0.039
9.6	0.25	0.54	1.3	16	160	0.43	0.0	d7768c65	10.5	0.9938	0.04
9.2	0.32	0.42	1.3	14	186	0.48	0.0	349fa02d	9.6	0.9949	0.046
6.4	0.31	0.4	6.2	46	169	0.46	0.0	81545b9b	9.3	0.9953	0.04
8.1	0.2	0.36	9.7	63	162	0.46	0.0	0610a8c5	10	0.997	0.044
7.9	0.255	0.26	2	40	190	0.39	0.0	d708fb3a	11.2	0.9932	0.026
7	0.15	0.34	1.4	21	177	0.62	0.0	e461bdbc	10.8	0.9927	0.039
6.4	0.15	0.31	1.1	25	96	0.51	0.0	39c3be89	10.3	0.9932	0.044
6.4	0.25	0.53	6.6	59	234	0.42	0.0	97cc132f	8.8	0.9955	0.038
7.6	0.19	0.42	1.5	6	114	0.74	0.0	771e8b66	12.8	0.9914	0.044
7.3	0.43	0.37	4.6	17	114	0.43	0.0	d6e651f5	13.2	0.991	0.028
5.1	0.31	0.3	0.9	28	152	0.56	0.0	d68b14e6	10.1	0.992	0.037
6.2	0.2	0.26	1.7	40	161	0.66	0.0	6642960a	11	0.9924	0.093
6.9	0.16	0.35	1.3	21	182	0.62	0.0	01d44cd4	10.8	0.9927	0.043
7.7	0.32	0.48	2.3	28	114	0.52	0.0	d142f950	12.8	0.9911	0.04
6.5	0.22	0.72	6.8	33	168	0.36	0.0	4e7e35d4	9.2	0.9958	0.042
6.8	0.26	0.33	1.5	44	167	0.44	0.0	c18c618a	10.5	0.9928	0.047
5.2	0.37	0.33	1.2	13	81	0.38	0.0	8d4cd67e	11.7	0.9902	0.028
8.4	0.19	0.43	2.1	20	104	0.46	0.0	5f1bb649	9.5	0.994	0.052
8.3	0.21	0.41	2.2	24	108	0.45	0.0	5800891e	9.5	0.994	0.05
6.8	0.15	0.32	8.8	24	110	0.4	0.0	3132028c	8.8	0.9972	0.058
7.9	0.16	0.64	17	69	210	0.51	0.0	b61e43a3	9.3	1.0004	0.05
7.8	0.21	0.39	1.8	62	180	0.75	0.0	24c3ff47	12.6	0.991	0.034
9	0.24	0.5	1.2	26	107	0.34	0.0	e9cccaed	12.4	0.9918	0.048
5.7	0.21	0.24	2.3	60	189	0.72	0.0	44fa67d7	10.1	0.995	0.047
7.8	0.29	0.36	7	38	161	0.37	0.0	2325f17b	11.2	0.9941	0.042
6.7	0.18	0.3	6.4	40	251	0.52	0.0	de2225d7	10	0.9956	0.048
6.7	0.18	0.3	6.4	40	251	0.52	0.0	69dbbdab	10	0.9956	0.048
8.4	0.58	0.27	12.15	37	116	0.39	0.0	2ce6a754	10.8	0.9959	0.033
7.2	0.16	0.32	0.8	50	121	0.33	0.0	16057d8f	10	0.9922	0.04
7.6	0.54	0.23	2	13	151	0.33	0.0	65a47469	10.4	0.9931	0.029
8.4	0.58	0.27	12.15	37	116	0.39	0.0	0ef0abc7	10.8	0.9959	0.033
6.6	0.25	0.31	12.4	52	181	0.47	0.0	82d8306e	9.8	0.9984	0.059
7.3	0.23	0.37	1.9	51	165	0.4	0.0	2d06485c	12.2	0.9908	0.041
7.3	0.39	0.37	1.1	36	113	0.48	0.0	6fbc24b2	12.7	0.991	0.043
7	0.46	0.39	6.2	46	163	0.35	0.0	98a8ab3a	12.2	0.9928	0.039
8.2	0.35	0.4	6.3	35	162	0.34	0.0	8ef7fd44	11.9	0.9936	0.039
7.8	0.29	0.36	7	38	161	0.37	0.0	225e81ba	11.2	0.9941	0.042
9.2	0.35	0.39	0.9	15	61	0.28	0.0	fa089015	10.4	0.9924	0.042
8	0.57	0.39	3.9	22	122	0.67	0.0	0709e82d	12.8	0.9917	0.034
6.5	0.37	0.33	3.9	40	130	0.39	0.0	136a2928	12.7	0.9906	0.027
5.7	0.21	0.24	2.3	60	189	0.72	0.0	380ee9cf	10.1	0.995	0.047
6.7	0.18	0.3	6.4	40	251	0.52	0.0	a5530f81	10	0.9956	0.048
7.8	0.13	0.3	1.8	43	179	0.41	0.0	1ea55fcc	9	0.9955	0.04
7.6	0.19	0.41	1.1	38	143	0.42	0.0	41945b8e	11.4	0.9907	0.04
7.3	0.22	0.41	15.4	55	191	0.59	0.0	742c4c70	8.9	1	0.05
6.3	0.29	0.4	6.5	43	167	0.44	0.0	b6be4522	9.3	0.9953	0.039
6.8	0.35	0.32	2.4	35	103	0.46	0.0	6e36ff5f	12	0.9911	0.048
6.5	0.19	0.32	1.4	31	132	0.54	0.0	dd183361	10.8	0.9922	0.04
6.2	0.12	0.26	5.7	56	158	0.37	0.0	e4d21d5f	10.5	0.9951	0.044
6	0.13	0.28	5.7	56	189.5	0.43	0.0	be07f6ba	10.6	0.9948	0.038
6.4	0.25	0.33	1.4	42	115	0.48	0.0	4bccee2b	11.3	0.9906	0.04
6.9	0.32	0.16	1.4	15	96	0.38	0.0	bd91f4ee	9.5	0.994	0.051
7.6	0.19	0.41	1.1	38	143	0.42	0.0	1913958b	11.4	0.9907	0.04
6.7	0.13	0.28	1.2	35	140	0.33	0.0	ba145040	10.1	0.9927	0.046
7	0.14	0.41	0.9	22	95	0.43	0.0	4ed69064	10.9	0.9914	0.037
7.6	0.27	0.24	3.8	19	115	0.45	0.0	bd6e4c61	8.9	0.9958	0.058
7.3	0.22	0.41	15.4	55	191	0.59	0.0	fdce3b65	8.9	1	0.05
7.4	0.64	0.47	14.15	42	185	0.49	0.0	dc2cedcb	9.3	0.9984	0.168
7.6	0.28	0.39	1.9	23	116	0.4	0.0	e74200f2	10.4	0.9941	0.052
8.3	0.26	0.41	9.2	41	162	0.38	0.0	2b376619	12	0.9944	0.042
10.7	0.22	0.56	8.2	37	181	0.68	0.0	06eb34ff	9.5	0.998	0.044
10.7	0.22	0.56	8.2	37	181	0.68	0.0	acff39fb	9.5	0.998	0.044
6.9	0.23	0.34	2.7	24	121	0.38	0.0	4f1f67f0	12.4	0.9902	0.032
6.2	0.3	0.32	1.7	30	130	0.41	0.0	4a544579	11.2	0.9911	0.032
6.9	0.27	0.41	1.7	6	134	0.69	0.0	593a4c32	11.4	0.9929	0.047
6.9	0.28	0.41	1.7	10	136	0.71	0.0	821728f9	11.4	0.993	0.05
6.9	0.28	0.3	1.6	46	132	0.38	0.0	1344b171	11.1	0.9918	0.047
6.9	0.46	0.2	0.9	5	126	0.42	0.0	3ebac0d4	10.4	0.992	0.054
6.9	0.38	0.32	8.5	36	152	0.35	0.0	1e0dd63c	12	0.9932	0.044
5.7	0.43	0.3	5.7	24	98	0.61	0.0	3ad75bdc	12.3	0.992	0.039
6.6	0.56	0.16	3.1	28	92	0.35	0.0	c879c734	9.1	0.994	0.045
7.1	0.36	0.56	1.3	25	102	0.33	0.0	cb997dd0	10.5	0.9923	0.046
6.8	0.23	0.4	1.6	5	133	0.7	0.0	327391de	11.4	0.993	0.047
6.2	0.33	0.29	1.3	26	138	0.64	0.0	12c75c11	9.5	0.9956	0.042
5.6	0.49	0.13	4.5	17	116	0.9	0.0	3ed62412	13.7	0.9907	0.039
6.6	0.42	0.33	2.8	15	85	0.51	0.0	7d773625	13.4	0.99	0.034
7.3	0.18	0.29	1.2	12	143	0.48	0.0	2a9955c2	11.3	0.9918	0.044
8.1	0.19	0.4	0.9	73	180	0.34	0.0	2be6fdac	10	0.9926	0.037
5.9	0.19	0.26	7.4	33	123	0.42	0.0	c649e21e	10.1	0.995	0.034
6.2	0.16	0.47	1.4	23	81	0.42	0.0	defe2ab2	12.2	0.99	0.029
6.6	0.42	0.33	2.8	15	85	0.51	0.0	bf9ab164	13.4	0.99	0.034
5.7	0.135	0.3	4.6	19	101	0.42	0.0	f439710a	9.3	0.9946	0.042
5.6	0.49	0.13	4.5	17	116	0.9	0.0	bc99bebe	13.7	0.9907	0.039
6.9	0.19	0.33	1.6	27	98	0.46	0.0	e4c2335b	12.3	0.9898	0.039
7.3	0.18	0.29	1.2	12	143	0.48	0.0	09994dc4	11.3	0.9918	0.044
7.3	0.25	0.36	13.1	35	200	0.46	0.0	77a92ca5	8.9	0.9986	0.05
7.3	0.25	0.36	13.1	35	200	0.46	0.0	bee0be2d	8.9	0.9986	0.05
7	0.2	0.34	5.7	32	83	0.46	0.0	9a9feee3	11.5	0.9928	0.035
7.3	0.25	0.36	13.1	35	200	0.46	0.0	2bff417c	8.9	0.9986	0.05
6.3	0.67	0.48	12.6	57	222	0.52	0.0	e38bfeb2	9.3	0.9979	0.052
7.4	0.4	0.29	5.4	31	122	0.5	0.0	52be099e	11.1	0.994	0.044
7.1	0.26	0.31	2.2	29	128	0.64	0.0	540f43a3	10.9	0.9937	0.044
9	0.31	0.48	6.6	11	73	0.38	0.0	e0ec1811	11.6	0.9938	0.043
6.3	0.39	0.24	6.9	9	117	0.35	0.0	12949f11	10.2	0.9942	0.069
8.2	0.22	0.36	6.8	12	90	0.38	0.0	099db1b1	10.5	0.9944	0.034
7.1	0.19	0.28	3.6	16	78	0.78	0.0	4b45586e	11.4	0.993	0.033
7.3	0.25	0.36	13.1	35	200	0.46	0.0	d2dc977a	8.9	0.9986	0.05
7.9	0.2	0.34	1.2	29	118	0.41	0.0	14e39fcd	10.6	0.9932	0.04
7.1	0.26	0.32	5.9	39	97	0.4	0.0	0fbed09c	11.6	0.9934	0.037
7	0.2	0.34	5.7	32	83	0.46	0.0	3ae1e096	11.5	0.9928	0.035
6.9	0.3	0.33	4.1	26	155	0.79	0.0	bcf31b31	12.3	0.9925	0.035
8.1	0.29	0.49	7.1	22	124	0.41	0.0	c9c5ee00	10.8	0.9944	0.042
5.8	0.17	0.3	1.4	55	130	0.38	0.0	d74656f1	11.3	0.9909	0.037
5.9	0.415	0.02	0.8	22	63	0.36	0.0	73b4c3fa	9.3	0.9932	0.038
6.6	0.23	0.26	1.3	16	128	0.6	0.0	5dc8d28f	10	0.9934	0.045
8.6	0.55	0.35	15.55	35.5	366.5	0.63	0.0	30a3bdea	11	1.0001	0.057
6.9	0.35	0.74	1	18	132	0.55	0.0	d60c8676	10.2	0.992	0.044
7.6	0.14	0.74	1.6	27	103	0.4	0.0	2f08675f	10.8	0.9916	0.04
9.2	0.28	0.49	11.8	29	137	0.34	0.0	305234bb	10.1	0.998	0.042
6.2	0.18	0.49	4.5	17	90	0.37	0.0	234f394b	11.6	0.9919	0.047
5.3	0.165	0.24	1.1	25	105	0.47	0.0	aedeac45	9.1	0.9925	0.051
9.8	0.25	0.74	10	36	225	0.43	0.0	b02b8908	10	0.9977	0.056
8.1	0.29	0.49	7.1	22	124	0.41	0.0	b5c76dd5	10.8	0.9944	0.042
6.8	0.22	0.49	0.9	26	128	0.35	0.0	e74edbdd	11.4	0.991	0.052
7.2	0.22	0.49	1	34	140	0.34	0.0	7bfd7b53	12.7	0.99	0.045
7.4	0.25	0.49	1.1	35	156	0.55	0.0	3e9f1106	11.3	0.9917	0.042
8.2	0.18	0.49	1.1	28	81	0.68	0.0	e3acb465	10.4	0.9923	0.033
6.1	0.22	0.49	1.5	18	87	0.46	0.0	5518c988	9.6	0.9928	0.051
7	0.39	0.24	1	8	119	0.31	0.0	b7a430a8	10.1	0.9923	0.048
6.1	0.22	0.49	1.5	18	87	0.46	0.0	7f3d9211	9.6	0.9928	0.051
6.5	0.36	0.49	2.9	16	94	0.49	0.0	caf641a8	12.1	0.9902	0.03
7.1	0.29	0.49	1.2	32	99	0.33	0.0	f81ade40	12.2	0.9893	0.031
7.4	0.25	0.49	1.1	35	156	0.55	0.0	519b8ca2	11.3	0.9917	0.042
6.9	0.23	0.24	14.2	19	94	0.5	0.0	d2ec45cd	9.6	0.9982	0.053
8.5	0.56	0.74	17.85	51	243	0.7	0.0	b8841a59	9.2	1.0005	0.051
8.2	0.18	0.49	1.1	28	81	0.68	0.0	2b444bf5	10.4	0.9923	0.033
6.3	0.23	0.49	7.1	67	210	0.34	0.0	e5f22e7b	9.5	0.9951	0.05
6.1	0.25	0.49	7.6	67	226	0.47	0.0	f94cfcfe	8.9	0.9956	0.052
7.2	0.26	0.74	13.6	56	162	0.44	0.0	9cfe2ced	8.8	0.998	0.05
7.2	0.31	0.24	1.4	17	117	0.35	0.0	d9d50052	10.5	0.9928	0.057
8	0.25	0.49	1.2	27	117	0.34	0.0	6368dbae	9.4	0.9938	0.061
7	0.18	0.49	5.3	34	125	0.4	0.0	91d3226a	12.2	0.9914	0.04
7.8	0.43	0.49	13	37	158	0.35	0.0	f972eb9f	11.3	0.9955	0.033
8.3	0.2	0.74	4.45	33	130	0.42	0.0	a99a0acc	12.2	0.9924	0.044
6.3	0.27	0.49	1.2	35	92	0.42	0.0	f23d1b35	12.2	0.9911	0.063
7.4	0.16	0.49	1.2	18	150	0.47	0.0	a7fd82e7	11.2	0.9917	0.055
7.4	0.16	0.49	1.2	18	150	0.47	0.0	c5ed9c40	11.2	0.9917	0.055
6.9	0.19	0.49	6.6	49	172	0.27	0.0	d509059e	11.5	0.9932	0.036
7.8	0.43	0.49	13	37	158	0.35	0.0	1a6b3eba	11.3	0.9955	0.033
7.2	0.4	0.49	1.1	11	138	0.42	0.0	820b1513	9.3	0.9929	0.048
7.8	0.43	0.49	13	37	158	0.35	0.0	8fa0d37d	11.3	0.9955	0.033
7.6	0.52	0.49	14	37	156	0.38	0.0	bb43a7d2	11.8	0.9958	0.034
8.3	0.21	0.49	19.8	50	231	0.54	0.0	e63d0097	9.2	1.0012	0.054
6.9	0.34	0.74	11.2	44	150	0.81	0.0	92b51717	9.2	0.9968	0.069
6.3	0.27	0.49	1.2	35	92	0.42	0.0	535a411e	12.2	0.9911	0.063
8.3	0.2	0.74	4.45	33	130	0.42	0.0	476049a6	12.2	0.9924	0.044
7.1	0.22	0.74	2.7	42	144	0.41	0.0	36186ca8	12.2	0.991	0.044
7.9	0.11	0.49	4.5	27	133	0.42	0.0	87c4ece1	10.6	0.9946	0.048
8.5	0.17	0.74	3.6	29	128	0.4	0.0	72ec07f5	12.4	0.9928	0.05
6.4	0.145	0.49	5.4	54	164	0.44	0.0	f43fde4d	10.8	0.9946	0.048
7.4	0.16	0.49	1.2	18	150	0.47	0.0	580b81da	11.2	0.9917	0.055
8.3	0.19	0.49	1.2	11	137	0.46	0.0	cc2e6f39	11	0.9918	0.051
8	0.44	0.49	9.1	46	151	0.27	0.0	aab0d49b	12.7	0.9926	0.031
7	0.2	0.74	0.8	19	163	0.53	0.0	aa068a2c	10.2	0.9931	0.044
6.9	0.19	0.49	6.6	49	172	0.27	0.0	e3ec4c0b	11.5	0.9932	0.036
7.1	0.25	0.49	3	30	96	0.39	0.0	a32168dd	12.3	0.9903	0.03
6.5	0.24	0.24	1.6	15	60	0.39	0.0	de5ef1e8	9.8	0.9928	0.046
7.2	0.4	0.49	1.1	11	138	0.42	0.0	eb385a93	9.3	0.9929	0.048
7.6	0.52	0.49	14	37	156	0.38	0.0	00abcb81	11.8	0.9958	0.034
7.8	0.43	0.49	13	37	158	0.35	0.0	d0076532	11.3	0.9955	0.033
7.8	0.21	0.49	1.35	6	48	0.28	0.0	353a0882	11.4	0.9911	0.052
7	0.2	0.49	5.9	39	128	0.48	0.0	41091028	10.8	0.9938	0.038
6.9	0.25	0.24	3.6	13	85	0.48	0.0	9d7f0f1e	9.5	0.9942	0.057
7.2	0.08	0.49	1.3	18	148	0.44	0.0	28dce9ac	10.2	0.9945	0.05
7.1	0.85	0.49	8.7	40	184	0.36	0.0	333c6c57	10.7	0.9962	0.028
7.6	0.51	0.24	1.2	10	104	0.29	0.0	2aebd745	10.8	0.992	0.04
7.9	0.22	0.24	4.6	39	159	0.28	0.0	78ce82eb	11.5	0.9927	0.044
7.7	0.16	0.49	2	20	124	0.49	0.0	33136519	10.7	0.9948	0.056
7.2	0.08	0.49	1.3	18	148	0.44	0.0	f0d2f8cc	10.2	0.9945	0.05
6.6	0.25	0.24	1.7	26	124	0.6	0.0	048d7991	10.1	0.9942	0.048
6.7	0.16	0.49	2.4	57	187	0.81	0.0	f4020ccf	10.4	0.9952	0.046
6.9	0.25	0.24	3.6	13	85	0.48	0.0	c01cdf79	9.5	0.9942	0.057
7.5	0.32	0.24	4.6	8	134	0.5	0.0	1a9fe5ae	9.1	0.9958	0.053
7.4	0.28	0.49	1.5	20	126	0.39	0.0	6df14ba9	10.6	0.9918	0.034
6.2	0.15	0.49	0.9	17	51	0.7	0.0	a3750d73	9.4	0.9932	0.033
6.7	0.25	0.74	19.4	44	169	0.45	0.0	940d9238	9.8	1.0004	0.054
6.5	0.26	0.74	13.3	68	224	0.54	0.0	954c692a	9.5	0.9972	0.044
7.9	0.16	0.74	17.85	52	187	0.41	0.0	70c89303	9.3	0.9998	0.037
5.6	0.185	0.49	1.1	28	117	0.45	0.0	b648b679	10.3	0.9918	0.03
7.5	0.2	0.49	1.3	8	97	0.62	0.0	64faa401	11.1	0.9918	0.031
8	0.3	0.49	9.4	47	188	0.48	0.0	f0f2fa01	10	0.9964	0.046
8	0.34	0.49	9	39	180	0.38	0.0	0ca3a446	12.3	0.9936	0.033
7.7	0.35	0.49	8.65	42	186	0.38	0.0	12e624e0	12.4	0.9931	0.033
7.6	0.29	0.49	9.6	45	197	0.38	0.0	2a9c877c	12.3	0.9938	0.03
6.7	0.62	0.24	1.1	6	62	0.32	0.0	9d5b4bb5	10.4	0.9934	0.039
6.8	0.27	0.49	1.2	35	126	0.48	0.0	ac1e8f5d	12.1	0.99	0.044
7.7	0.27	0.49	1.8	23	86	0.42	0.0	bb74d2dd	12.5	0.9914	0.041
6.7	0.51	0.24	2.1	14	155	0.6	0.0	411a6a13	13	0.9904	0.043
7.4	0.19	0.49	9.3	26	132	0.32	0.0	c4da68c6	11	0.994	0.03
8.3	0.2	0.49	1.7	34	169	0.37	0.0	59a46f68	10.1	0.9938	0.04
6.6	0.3	0.24	1.2	17	121	0.36	0.0	d21b8cf2	9.2	0.9933	0.034
6.8	0.36	0.24	4.6	24	124	0.34	0.0	34250944	12.6	0.9909	0.039
7	0.17	0.74	12.8	24	126	0.38	0.0	00f9336f	12.2	0.9942	0.045
9.2	0.18	0.49	1.5	39	130	0.49	0.0	8e6dacb6	9.8	0.9945	0.041
8.1	0.2	0.49	8.1	51	205	0.52	0.0	644be851	11	0.9954	0.051
7.8	0.26	0.74	7.5	59	160	0.64	0.0	aac989a6	10	0.996	0.044
6.8	0.21	0.49	14.5	50	170	0.44	0.0	436c8b60	9.8	0.9991	0.06
7.9	0.2	0.49	1.6	15	144	0.47	0.0	ddca71fb	10.5	0.993	0.053
8	0.18	0.49	1.8	10	145	0.48	0.0	59ec5a8b	10	0.9942	0.061
8.8	0.23	0.74	3.2	15	126	0.51	0.0	ef92a20f	11.2	0.9934	0.042
7.3	0.22	0.49	9.4	29	134	0.32	0.0	f651df8f	11	0.9939	0.034
7.3	0.22	0.49	9.9	48	161	0.28	0.0	1896aab8	11.2	0.9937	0.031
7.4	0.19	0.49	9.3	26	132	0.32	0.0	aa710832	11	0.994	0.03
7.3	0.155	0.49	1.3	34	136	0.77	0.0	7885c462	10.5	0.9926	0.039
8.2	0.22	0.49	9.6	53	154	0.33	0.0	ec0cbd76	10.6	0.9951	0.037
8.2	0.24	0.49	9.3	52	163	0.33	0.0	b01e1b1c	10.6	0.9952	0.038
8.4	0.23	0.49	7.8	22	95	0.34	0.0	b4b6ae09	12	0.9935	0.035
8.3	0.2	0.49	1.7	34	169	0.37	0.0	d476b066	10.1	0.9938	0.04
8.3	0.2	0.49	1.7	38	167	0.37	0.0	7c96b272	10.1	0.9939	0.038
6.6	0.3	0.24	1.2	17	121	0.36	0.0	ebea0b43	9.2	0.9933	0.034
6.9	0.21	0.49	1.4	15	164	0.63	0.0	23eb1cd4	11	0.9927	0.041
8	0.25	0.49	9	31	185	0.49	0.0	7c46bd0d	10	0.998	0.044
6.6	0.21	0.49	18.15	41	158	0.39	0.0	e61a73cc	8.7	0.9997	0.042
7.2	0.27	0.74	12.5	47	156	0.44	0.0	b56edb23	8.7	0.9981	0.037
14.2	0.27	0.49	1.1	33	156	0.54	0.0	f4de76a4	11.1	0.992	0.037
7.9	0.28	0.49	7.7	48	195	0.55	0.0	9ce75657	11	0.9954	0.045
7.4	0.27	0.49	1.1	33	156	0.54	0.0	dcb02b96	11.1	0.992	0.037
6.6	0.21	0.49	18.15	41	158	0.39	0.0	b9519af5	8.7	0.9997	0.042
7.2	0.27	0.74	12.5	47	156	0.44	0.0	efbab381	8.7	0.9981	0.037
8.1	0.3	0.49	8.1	26	174	0.3	0.0	4e1ac2db	11.2	0.9943	0.037
7.5	0.23	0.49	7.7	61	209	0.3	0.0	4400e262	11.1	0.9941	0.049
7.3	0.26	0.49	5	32	107	0.54	0.0	e30e6673	10.8	0.9936	0.028
7.1	0.18	0.74	15.6	44	176	0.67	0.0	3aa0a1bd	9	0.9996	0.044
8.5	0.15	0.49	1.5	17	122	0.4	0.0	2719774c	10.3	0.9932	0.031
8.9	0.13	0.49	1	6	24	0.32	0.0	201ab1ef	9.9	0.9926	0.028
8.1	0.28	0.49	1	32	148	0.41	0.0	13cea424	10	0.9936	0.04
6	0.17	0.49	1	26	106	0.42	0.0	e6bed17a	9.8	0.992	0.034
7.3	0.26	0.49	5	32	107	0.54	0.0	a09600c6	10.8	0.9936	0.028
7.1	0.18	0.74	15.6	44	176	0.67	0.0	c9912d08	9	0.9996	0.044
7.1	0.53	0.24	0.8	29	86	0.32	0.0	8883734e	9.1	0.993	0.029
7.2	0.16	0.49	1.3	27	104	0.57	0.0	16f4cf70	10.6	0.9924	0.037
7.3	0.14	0.49	1.1	28	99	0.72	0.0	a96553bd	10.6	0.9928	0.038
8.9	0.13	0.49	1	6	24	0.32	0.0	2946f922	9.9	0.9926	0.028
7.9	0.12	0.49	5.2	33	152	0.47	0.0	a4d41fc4	10.6	0.9952	0.049
6.7	0.29	0.49	4.7	35	156	0.45	0.0	511cce41	9.9	0.9945	0.034
6.7	0.3	0.49	4.8	36	158	0.45	0.0	78bd421c	9.9	0.9945	0.034
7.1	0.36	0.24	1.8	32	102	0.59	0.0	90e04fef	12.8	0.9903	0.025
8.5	0.15	0.49	1.5	17	122	0.4	0.0	71098be3	10.3	0.9932	0.031
7.9	0.18	0.49	5.2	36	157	0.48	0.0	c191f7c1	10.6	0.9953	0.051
6.6	0.19	0.99	1.2	45	129	0.31	0.0	091d22c9	8.7	0.9936	0.122
7.3	0.21	0.49	1.8	44	152	0.44	0.0	16dc3788	12.6	0.9912	0.038
6.9	0.3	0.49	7.6	25	156	0.63	0.0	5bef61e6	11	0.9962	0.057
7.9	0.42	0.49	8.2	32	164	0.6	0.0	aa4b93e5	11.2	0.9965	0.056
6.9	0.24	0.49	1.3	35	148	0.57	0.0	9c300d75	10.7	0.9932	0.032
7.6	0.23	0.49	10	45	182	0.58	0.0	986f041c	9.6	0.9967	0.036
7.9	0.18	0.49	5.2	36	157	0.48	0.0	593ffedb	10.6	0.9953	0.051
6.2	0.43	0.49	6.4	12	115	0.57	0.0	293121f6	9	0.9963	0.045
8.8	0.35	0.49	1	14	56	0.33	0.0	f91f522d	10.5	0.992	0.036
7.8	0.3	0.74	1.8	33	156	0.52	0.0	e94c8ac3	12.8	0.991	0.033
9.1	0.28	0.49	2	10	112	0.46	0.0	b8aa223e	10.1	0.9958	0.059
7.1	0.34	0.49	1.5	26	126	0.33	0.0	350d05f8	12.2	0.99	0.027
7.8	0.3	0.74	1.8	33	156	0.52	0.0	eef6fa4a	12.8	0.991	0.033
9.1	0.28	0.49	2	10	112	0.46	0.0	efa15f03	10.1	0.9958	0.059
8.5	0.19	0.49	3.5	29	117	0.51	0.0	085f4eb6	10.1	0.9938	0.044
7.6	0.18	0.49	18.05	36	158	0.41	0.0	37f977da	9.2	0.9996	0.046
7.5	0.19	0.49	1.8	19	110	0.44	0.0	199ec603	9.9	0.9946	0.055
7.4	0.3	0.49	8.2	49	188	0.58	0.0	45e275d8	9.7	0.9974	0.055
6.7	0.3	0.74	5	35	157	0.46	0.0	d7a66de5	9.9	0.9945	0.038
6.6	0.3	0.74	4.6	36	159	0.45	0.0	2b6584d8	9.9	0.9946	0.041
7.4	0.3	0.49	8.2	49	188	0.58	0.0	f9e3fd34	9.7	0.9974	0.055
6.9	0.22	0.49	7	50	168	0.5	0.0	b8d10f6b	10.3	0.9957	0.063
7.8	0.26	0.49	3.1	21	116	0.35	0.0	a017771f	10.3	0.9931	0.045
8.5	0.17	0.49	8.8	23	108	0.34	0.0	0f2265e6	10.5	0.9947	0.048
6.8	0.17	0.74	2.4	61	182	0.76	0.0	13885895	10.5	0.9953	0.053
6.2	0.27	0.49	1.4	20	74	0.44	0.0	64016c03	9.8	0.9931	0.05
7.1	0.64	0.49	1.8	17	128	0.58	0.0	0381fd4a	10.6	0.9946	0.05
6.4	0.18	0.74	11.9	54	168	0.68	0.0	91b2012d	10.1	0.9978	0.046
7.6	0.31	0.49	13.4	50	191	0.53	0.0	9b4c3135	9	0.9989	0.062
9.8	0.31	0.49	15.4	13	119	0.45	0.0	914d8686	9.5	1.0004	0.046
9	0.3	0.49	7.2	32	84	0.32	0.0	d0758fc0	11.5	0.9938	0.039
8.4	0.24	0.49	7.4	46	108	0.33	0.0	6050a7e8	11.9	0.9934	0.039
6.4	0.18	0.74	11.9	54	168	0.68	0.0	50990e12	10.1	0.9978	0.046
6.4	0.25	0.74	7.8	52	209	0.42	0.0	b4ff769c	9.2	0.9956	0.045
7.3	0.3	0.74	13.5	46	165	0.4	0.0	a99ca05b	8.7	0.9982	0.039
9.3	0.31	0.49	1.3	34	147	0.46	0.0	108a0b7c	9.8	0.9948	0.042
6.4	0.25	0.74	7.8	52	209	0.42	0.0	ee0a198e	9.2	0.9956	0.045
7.3	0.3	0.74	13.5	46	165	0.4	0.0	8c20b6de	8.7	0.9982	0.039
7	0.27	0.74	1.5	27	122	0.48	0.0	1d531b54	11.2	0.9926	0.036
7.9	0.14	0.74	1.2	30	165	0.82	0.0	290cc110	12.3	0.991	0.028
6.4	0.12	0.49	6.4	49	161	0.44	0.0	b2a14b13	10.4	0.9945	0.042
6.8	0.21	0.74	1.2	25	111	0.41	0.0	abbd6353	10.7	0.9916	0.047
8.6	0.16	0.49	7.3	9	63	0.59	0.0	034e4678	10.5	0.9953	0.043
7	0.29	0.49	3.8	37	136	0.4	0.0	2b1edb39	9.4	0.9938	0.047
6.4	0.27	0.49	7.3	53	206	0.43	0.0	39b024f8	9.2	0.9956	0.046
6.6	0.55	0.01	2.7	56	122	0.3	0.0	798988bb	11.9	0.9906	0.034
6.4	0.27	0.49	7.3	53	206	0.43	0.0	8518292d	9.2	0.9956	0.046
6.3	0.24	0.74	1.4	24	108	0.39	0.0	6f5a72aa	9.9	0.9932	0.172
6.7	0.33	0.49	1.6	20	94	0.5	0.0	3af8d620	11.4	0.9914	0.167
7	0.29	0.49	3.8	37	136	0.4	0.0	95cdacb3	9.4	0.9938	0.047
8.2	0.34	0.49	8	55	223	0.52	0.0	3403aeb4	10.7	0.996	0.046
5.6	0.39	0.24	4.7	27	77	0.36	0.0	609ad17c	12.7	0.9906	0.034
5.6	0.41	0.24	1.9	10	53	0.5	0.0	10e4045a	13.5	0.98815	0.034
6.7	0.41	0.01	2.8	39	137	0.35	0.0	8044cd91	9.5	0.9942	0.048
7.1	0.26	0.49	2.2	31	113	0.42	0.0	35556800	12.9	0.9903	0.032
7.5	0.32	0.49	1.7	44	109	0.46	0.0	677bf51a	12.5	0.9906	0.031
5.8	0.19	0.49	4.9	44	118	0.38	0.0	37dcd954	9.5	0.9935	0.04
6.9	0.27	0.49	23.5	59	235	0.47	0.0	35bb82a6	8.6	1.0024	0.057
8.1	0.2	0.49	11.8	46	212	0.46	0.0	91f8c53a	10	0.9968	0.048
7.5	0.32	0.49	1.7	44	109	0.46	0.0	eaf735bf	12.5	0.9906	0.031
8.2	0.26	0.49	5.2	19	100	0.34	0.0	436020e6	10.1	0.9941	0.04
7.8	0.26	0.49	3.2	28	87	0.32	0.0	0498b2fc	11.3	0.9919	0.027
8	0.14	0.49	1.5	42	120	0.4	0.0	10e27123	10.6	0.9928	0.035
8	0.29	0.49	11.7	40	131	0.34	0.0	bfc48a52	10.8	0.9958	0.035
7.5	0.19	0.49	1.6	42	140	0.47	0.0	b2ef9bda	10.7	0.9932	0.047
6.9	0.34	0.49	7.3	61	206	0.4	0.0	279dded3	9	0.9957	0.045
6.2	0.2	0.49	1.6	17	143	0.52	0.0	4324bdd9	9.2	0.9937	0.065
6.4	0.37	0.49	13.3	53	243	0.48	0.0	f66cc04c	8.5	0.9982	0.045
6.2	0.22	0.49	6	31	128	0.36	0.0	057b17bf	11.3	0.9928	0.029
7.8	0.26	0.49	3.2	28	87	0.32	0.0	529292d2	11.3	0.9919	0.027
8.9	0.32	0.49	1.6	17	131	0.34	0.0	3af981a5	9.4	0.9956	0.05
6.5	0.44	0.49	7.7	16	169	0.37	0.0	8a6ce87b	8.7	0.9957	0.045
7	0.14	0.49	5.9	22	118	0.36	0.0	d9ae876c	9.4	0.9954	0.053

Train a new model version using the updated feature table

# Re-train our model
model_feature_lookup = [
  FeatureLookup(
    table_name=feature_table_name,
    lookup_key="primary_key")]

# Create the training set. This looks up features 
# in model_feature_lookups that match the primary 
# key from inference_data_df
training_set_classify = fe.create_training_set(
  df=inference_data_df,
  feature_lookups=model_feature_lookup,
  label="quality",
  exclude_columns=["primary_key"]
  )

training_pd = training_set_classify.load_df().toPandas()

# Create train and test datasets
X = training_pd.drop(columns=['quality'])
y = training_pd['quality'].astype('int') >= 7

# Train + Temp (validate + test)
X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=1, stratify=y)

# Turn "Temp" Into Validate + Test
X_val, X_test, y_val, y_test = train_test_split(
  X_temp, y_temp, test_size=0.5, random_state=1, stratify=y_temp)

# Disable MLflow autologging, and instead log the model
# using Feature Engineering in UC
mlflow.sklearn.autolog(log_models=False)

# Fit and log model
with mlflow.start_run(run_name="gbclassifier_logging_model") as run:

  model = sklearn.ensemble.GradientBoostingClassifier(random_state=0)
  model.fit(X_train, y_train)
  predicted_probs = model.predict_proba(X_val)
  roc_auc = sklearn.metrics.roc_auc_score(y_val, predicted_probs[:,1])

  mlflow.log_metric("val_auc", roc_auc)

  fe.log_model(
    model=model,
    artifact_path="feature_store_model",
    flavor=mlflow.sklearn,
    training_set=training_set_classify,
    registered_model_name=class_model_name
  )

  print(f"Test AUC of: {roc_auc}")

🔗 View Logged Model at: https://dbc-464ba720-0425.cloud.databricks.com/ml/experiments/e7d759a1d0174066b059afb23856d04b/models/m-9a2048120dd24216ae2520c124812f5d?o=3203210999074204
Registered model 'main.default.wine_classification_model_2' already exists. Creating a new version of this model...
2025/08/07 03:37:19 WARNING mlflow.tracking._model_registry.fluent: Run with id 400738cb09114819a241b0ecc436f806 has no artifacts at artifact path 'feature_store_model', registering model based on models:/m-9a2048120dd24216ae2520c124812f5d instead

🔗 Created version '11' of model 'main.default.wine_classification_model_2': https://dbc-464ba720-0425.cloud.databricks.com/explore/data/models/main/default/wine_classification_model_2/version/11?o=3203210999074204

Test AUC of: 0.8448350987904739

# Let's test the model on our X_test dataset now
with mlflow.start_run(run_name="gbclassifier_logging_model") as run:
  predicted_probs = model.predict_proba(X_test)
  roc_auc = sklearn.metrics.roc_auc_score(y_test, predicted_probs[:,1])
  mlflow.log_metric("test_auc", roc_auc)
  print(roc_auc)

0.8616910620210729

I’ve run this notebook a few times, and each time Databricks has logged the model version within our Feature Store’s lineage:

Remember when we didn’t use a feature store to train the models at the beginning of this post? Here’s a reminder of how models weren’t tracked in the data’s lineage:

It’s a small difference. You don’t have to use Feature Stores. But because they don’t take any extra effort to set up, you might as well.

And that’s it! This may have seemed like a lot. But I wanted to provide as much detail as possible, and hopefully this post can serve as a template for anyone just starting to build their ML model. Please feel free to reach out if you have any questions.

ML Pipelines With and Without Feature Stores

Table of Contents

Feature Engineering Pipelines

Building a Pipeline Without a Feature Store

Now let’s pretend another Data Scientist accesses your saved features-and-labels table, and uses it to build a separate model.

Updating Our Feature Table, and ML Model, Without FeatureEngineeringClient()

ML Pipeline Using Feature Stores with FeatureEngineeringClient

Train a new model version using the updated feature table