add abck test files

Author: satvshr

tests/files/misc/trace.arff

@@ -514,6 +514,6 @@
 0,9,47,1.0,false,52803.95318629395,0.48840311594449337,2.781026953358017,0.24387504713836486,0,0.0010179658001682542,'\"median\"'
 0,9,48,0.916518650089,false,4.212729480184038,-0.4237018370034965,1.3846048401020126,1.2806750694258338,1,0.0013379343290737073,'\"most_frequent\"'
 0,9,49,1.0,false,8255.254357596426,0.15512460844121778,2.632883048107603,9.685313873205853,1,9.29186571775498e-06,'\"median\"'
-%
-%
-%
+% 
+% 
+% 

tests/files/mock_responses/datasets/data_delete_not_owned.xml

@@ -1,4 +1,4 @@
 <oml:error xmlns:oml="http://openml.org/openml">
 	<oml:code>353</oml:code>
 	<oml:message>Dataset is not owned by you</oml:message>
-</oml:error>
+</oml:error>

tests/files/mock_responses/datasets/data_description_61.xml

@@ -2,22 +2,22 @@
   <oml:id>61</oml:id>
   <oml:name>iris</oml:name>
   <oml:version>1</oml:version>
-  <oml:description>**Author**: R.A. Fisher
-**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Iris) - 1936 - Donated by Michael Marshall
-**Please cite**:
+  <oml:description>**Author**: R.A. Fisher  
+**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/Iris) - 1936 - Donated by Michael Marshall  
+**Please cite**:   
 
-**Iris Plants Database**
+**Iris Plants Database**  
 This is perhaps the best known database to be found in the pattern recognition literature.  Fisher's paper is a classic in the field and is referenced frequently to this day.  (See Duda &amp; Hart, for example.)  The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant.  One class is     linearly separable from the other 2; the latter are NOT linearly separable from each other.
 
-Predicted attribute: class of iris plant.
-This is an exceedingly simple domain.
-
+Predicted attribute: class of iris plant.  
+This is an exceedingly simple domain.  
+ 
 ### Attribute Information:
     1. sepal length in cm
     2. sepal width in cm
     3. petal length in cm
     4. petal width in cm
-    5. class:
+    5. class: 
        -- Iris Setosa
        -- Iris Versicolour
        -- Iris Virginica</oml:description>

tests/files/org/openml/test/datasets/-1/qualities.xml

@@ -77,3 +77,4 @@
       <oml:value>0.004999750012499375</oml:value>
    </oml:quality>
 </oml:data_qualities>
+

tests/files/org/openml/test/datasets/2/dataset.arff

@@ -1,21 +1,21 @@
 % 1. Title of Database: Annealing Data
-%
+% 
 % 2. Source Information: donated by David Sterling and Wray Buntine.
-%
+% 
 % 3. Past Usage: unknown
-%
+% 
 % 4. Relevant Information:
 %    -- Explanation: I suspect this was left by Ross Quinlan in 1987 at the
 %       4th Machine Learning Workshop.  I'd have to check with Jeff Schlimmer
 %       to double check this.
-%
+% 
 % 5. Number of Instances: 798
-%
+% 
 % 6. Number of Attributes: 38
 %    -- 6 continuously-valued
 %    -- 3 integer-valued
 %    -- 29 nominal-valued
-%
+% 
 % 7. Attribute Information:
 %     1. family:          --,GB,GK,GS,TN,ZA,ZF,ZH,ZM,ZS
 %     2. product-type:    C, H, G
@@ -56,11 +56,11 @@
 %    37. bore:            0000,0500,0600,0760
 %    38. packing: -,1,2,3
 %    classes:        1,2,3,4,5,U
-%
+%  
 %    -- The '-' values are actually 'not_applicable' values rather than
 %       'missing_values' (and so can be treated as legal discrete
 %       values rather than as showing the absence of a discrete value).
-%
+% 
 % 8. Missing Attribute Values: Signified with "?"
 %    Attribute:  Number of instances missing its value:
 %    1           0
@@ -102,7 +102,7 @@
 %   37           0
 %   38           789
 %   39           0
-%
+% 
 % 9. Distribution of Classes
 %      Class Name:   Number of Instances:
 %      1               8
@@ -113,7 +113,7 @@
 %      U              34
 %                    ---
 %                    798
-%
+% 
 @relation anneal.ORIG
 @attribute 'family' {  GB , GK , GS , TN , ZA , ZF , ZH , ZM , ZS }
 @attribute 'product-type' {  C , H , G }

tests/files/org/openml/test/datasets/2/description.xml

@@ -2,28 +2,28 @@
   <oml:id>2</oml:id>
   <oml:name>anneal</oml:name>
   <oml:version>1</oml:version>
-  <oml:description>**Author**:
-**Source**: Unknown -
-**Please cite**:
+  <oml:description>**Author**:   
+**Source**: Unknown -   
+**Please cite**:   
 
 1. Title of Database: Annealing Data
-
+ 
  2. Source Information: donated by David Sterling and Wray Buntine.
-
+ 
  3. Past Usage: unknown
-
+ 
  4. Relevant Information:
     -- Explanation: I suspect this was left by Ross Quinlan in 1987 at the
        4th Machine Learning Workshop.  I'd have to check with Jeff Schlimmer
        to double check this.
-
+ 
  5. Number of Instances: 798
-
+ 
  6. Number of Attributes: 38
     -- 6 continuously-valued
     -- 3 integer-valued
     -- 29 nominal-valued
-
+ 
  7. Attribute Information:
      1. family:          --,GB,GK,GS,TN,ZA,ZF,ZH,ZM,ZS
      2. product-type:    C, H, G
@@ -64,11 +64,11 @@
     37. bore:            0000,0500,0600,0760
     38. packing: -,1,2,3
     classes:        1,2,3,4,5,U
-
+  
     -- The '-' values are actually 'not_applicable' values rather than
        'missing_values' (and so can be treated as legal discrete
        values rather than as showing the absence of a discrete value).
-
+ 
  8. Missing Attribute Values: Signified with &quot;?&quot;
     Attribute:  Number of instances missing its value:
     1           0
@@ -110,7 +110,7 @@
    37           0
    38           789
    39           0
-
+ 
  9. Distribution of Classes
       Class Name:   Number of Instances:
       1               8
@@ -124,7 +124,7 @@
   <oml:format>ARFF</oml:format>
   			<oml:upload_date>2014-04-06T23:19:24</oml:upload_date>
     <oml:licence>Public</oml:licence>  <oml:url>http://www.openml.org/data/download/1666876/phpFsFYVN</oml:url>
-
+  
   <oml:file_id>1666876</oml:file_id>  <oml:default_target_attribute>class</oml:default_target_attribute>      <oml:version_label>1</oml:version_label>    <oml:tag>hallo</oml:tag><oml:tag>study_1</oml:tag><oml:tag>uci</oml:tag><oml:tag>welt</oml:tag>  <oml:visibility>public</oml:visibility>      <oml:status>active</oml:status>
   <oml:md5_checksum>4eaed8b6ec9d8211024b6c089b064761</oml:md5_checksum>
 </oml:data_set_description>