Merge pull request #1939 from ales-erjavec/fixes/linearprojection-nan-columns

[ENH] Widget testing utilities
(cherry picked from commit 40c677d)

 Conflicts:
	MANIFEST.in
	Orange/widgets/tests/base.py

Author: astaric

MANIFEST.in

@@ -7,9 +7,8 @@ recursive-include Orange/tests *.tab *.basket *.xlsx
 recursive-include Orange/canvas *.qss *ico *.png *.svg *.ico *.html
 recursive-include Orange/canvas/application/workflows *.ows
 
-recursive-include Orange/widgets *.png *.svg
-recursive-include Orange/widgets/_highcharts *.js *.css *.html
-recursive-include Orange/widgets/utils/_webview *.js
+recursive-include Orange/widgets *.png *.svg *.js *.css *.html
+recursive-include Orange/widgets/tests *.tab
 recursive-include Orange/widgets/utils/plot *.fs *.vs *.gs *.obj
 
 recursive-include distribute *.svg *.desktop

Orange/widgets/tests/base.py

@@ -1,3 +1,4 @@
+import os
 import unittest
 
 import numpy as np
@@ -20,7 +21,6 @@
                                                  ANNOTATED_DATA_SIGNAL_NAME)
 
 # For tests, let memory freeing entirely to Python / OS
-import sip
 sip.setdestroyonexit(False)
 
 app = None
@@ -163,6 +163,9 @@ def send_signal(self, input_name, value, *args, widget=None):
             if input_signal.name == input_name:
                 getattr(widget, input_signal.handler)(value, *args)
                 break
+        else:
+            raise ValueError("'{}' is not an input name for widget {}"
+                             .format(input_name, type(widget).__name__))
         widget.handleNewSignals()
 
     def get_output(self, output_name, widget=None):
@@ -540,3 +543,55 @@ def _compare_selected_annotated_domains(self, selected, annotated):
         selected_vars = selected.domain.variables + selected.domain.metas
         annotated_vars = annotated.domain.variables + annotated.domain.metas
         self.assertLess(set(selected_vars), set(annotated_vars))
+
+
+class datasets:
+    @staticmethod
+    def path(filename):
+        dirname = os.path.join(os.path.dirname(__file__), "datasets")
+        return os.path.join(dirname, filename)
+
+    @classmethod
+    def missing_data_1(cls):
+        """
+        Data set with 3 continuous features (X{1,2,3}) where all the columns
+        and rows contain at least one NaN value.
+
+        One discrete class D with NaN values
+        Mixed continuous/discrete/string metas ({X,D,S}M)
+
+        Returns
+        -------
+        data : Orange.data.Table
+        """
+        return Table(cls.path("missing_data_1.tab"))
+
+    @classmethod
+    def missing_data_2(cls):
+        """
+        Data set with 3 continuous features (X{1,2,3}) where all the columns
+        and rows contain at least one NaN value and X1, X2 are constant.
+
+        One discrete constant class D with NaN values.
+        Mixed continuous/discrete/string class metas ({X,D,S}M)
+
+        Returns
+        -------
+        data : Orange.data.Table
+        """
+        return Table(cls.path("missing_data_2.tab"))
+
+    @classmethod
+    def missing_data_3(cls):
+        """
+        Data set with 3 discrete features D{1,2,3} where all the columns and
+        rows contain at least one NaN value
+
+        One discrete class D with NaN values
+        Mixes continuous/discrete/string metas ({X,D,S}M)
+
+        Returns
+        -------
+        data : Orange.data.Table
+        """
+        return Table(cls.path("missing_data_3.tab"))

Orange/widgets/tests/datasets/missing_data_1.tab

@@ -0,0 +1,8 @@
+X1	X2	X3	D	XM	DM	SM
+c	c	c	d	c	d	string
+			class	meta	meta	meta
+?	2	3	a	1	a	a
+2	?	1	b	2	b	
+3	1	?	?	?	b	b
+2	?	1	b	?	?	
+?	2	3	a	5	b	c

Orange/widgets/tests/datasets/missing_data_2.tab

@@ -0,0 +1,8 @@
+X1	X2	X3	D	XM	DM	SM
+c	c	c	d	c	d	string
+			class	meta	meta	meta
+?	1	3	a	1	a	a
+1	?	1	a	2	b	
+1	1	?	?	?	b	b
+1	?	1	a	?	?	
+?	1	3	a	5	b	c

Orange/widgets/tests/datasets/missing_data_3.tab

@@ -0,0 +1,8 @@
+D1	D2	D3	D	XM	DM	SM
+d	d	d	d	c	d	s
+			class	meta	meta	meta
+?	b	c	a	1	a	a
+b	?	a	b	1	b	a
+c	a	?	?	2	?	
+b	?	a	b	?	?	b
+?	b	c	a	3	b	c