Streaming rp hash twrp

.classpath

@@ -1,9 +1,16 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<classpath>
-	<classpathentry kind="src" path="src/main/java"/>
-	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-1.8"/>
-	<classpathentry kind="lib" path="lib/commons-lang3-3.4/commons-lang3-3.4.jar"/>
-	<classpathentry kind="lib" path="lib/commons-math3-3.6.1/commons-math3-3.6.1.jar"/>
-	<classpathentry kind="lib" path="/home/lee/workspace/RPHash/lib/knn-0.1-jar-with-dependencies.jar"/>
-	<classpathentry kind="output" path="bin"/>
-</classpath>
+<?xml version="1.0" encoding="UTF-8"?>
+<classpath>
+	<classpathentry kind="src" path="src/main/java"/>
+	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-1.8">
+		<attributes>
+			<attribute name="module" value="true"/>
+		</attributes>
+	</classpathentry>
+	<classpathentry kind="lib" path="lib/commons-lang3-3.4/commons-lang3-3.4.jar"/>
+	<classpathentry kind="lib" path="lib/commons-math3-3.6.1/commons-math3-3.6.1.jar"/>
+	<classpathentry kind="lib" path="lib/knn-0.1-jar-with-dependencies.jar"/>
+	<classpathentry kind="lib" path="C:/Users/sayan/Downloads/softwares/jython-2.7.2.jar"/>
+	<classpathentry kind="lib" path="C:/Users/sayan/Downloads/jars/xchart-3.8.1/xchart-3.8.1.jar"/>
+	<classpathentry kind="lib" path="C:/Users/sayan/Downloads/jars/jython-standalone-2.7.2.jar"/>
+	<classpathentry kind="output" path="bin"/>
+</classpath>

.pydevproject

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<?eclipse-pydev version="1.0"?><pydev_project>
+    <pydev_property name="org.python.pydev.PYTHON_PROJECT_INTERPRETER">Default</pydev_property>
+    <pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python interpreter</pydev_property>
+</pydev_project>

.settings/org.eclipse.core.resources.prefs

@@ -0,0 +1,2 @@
+eclipse.preferences.version=1
+encoding//src/main/java/edu/uc/rphash/tests/plotting.java=UTF-8

scripts/ari_test.py

@@ -0,0 +1,64 @@
+import pandas as pd
+import numpy as np
+#from scipy.spatial import distance
+from math import dist
+import os
+import csv
+import openpyxl
+from sklearn.metrics.cluster import adjusted_rand_score
+
+# https://github.com/cran/dendextend/blob/master/R/find_k.R
+# https://cran.r-project.org/web/packages/fpc/fpc.pdf
+
+# scipy.spatial.distance.euclidean(A, B)
+# dist([1, 0, 0], [0, 1, 0])
+
+labels_true_gt=np.genfromtxt("C:/Users/dey.sn/Downloads/temp/haraal/haraal_labels_gt.csv", delimiter=',')
+print(labels_true_gt.shape[0])
+print(labels_true_gt)
+#column = nArr2D[:, 1]
+#output_labels = np.genfromtxt('C:/Users/dey.sn/Downloads/work/output/har_k6/Labels_har_k6_kmpp,cutoff,90,k6.csv', delimiter=',')
+'''
+output_labels_col1=output_labels[:,0]
+print(output_labels.shape[1])
+print(output_labels_col1)
+for cols in range(output_labels.shape[1]):
+    print(adjusted_rand_score(labels_true_gt,output_labels[:,cols]))
+
+'''
+# This is the path where you want to search
+path = r'C:/Users/dey.sn/Downloads/work/output/haraal_k6/'
+# this is the extension you want to detect
+extension = '.csv'
+substring="Labels"
+count=0
+wb=openpyxl.Workbook()
+sheet=wb.active
+sheet.title= 'haraal_ari'
+for root, dirs_list, files_list in os.walk(path):
+    for file_name in files_list:
+       if os.path.splitext(file_name)[-1] == extension:
+          file_name_path = os.path.join(root, file_name)
+          print(file_name)
+          print(file_name_path)   # This is the full path of the filter file
+          try:
+            index=file_name.index(substring)
+ #          print(index)
+            if(index==0):
+                count+=1
+                output_labels = np.genfromtxt(file_name_path, delimiter=',')
+                b = sheet.cell(row=count, column=2)
+                b.value = file_name
+                for cols in range(output_labels.shape[1]):
+                    ari=adjusted_rand_score(labels_true_gt,output_labels[:,cols])
+                    print(ari)
+                    c = sheet.cell(row=count, column=(cols+12))
+                    c.value = ari
+          except ValueError:
+                print(
+                "Not found!")
+          else:
+                print(
+                "Found!")
+print(count)
+wb.save("C:/Users/dey.sn/Downloads/work/output/haraal_k6/results_python_ari_all_runs.xlsx")