fix test with data

examples/data/tests/maximization.mps

@@ -0,0 +1,19 @@
+* Generated by MPModelProtoExporter
+*   Name             : SupportedMaximizationProblem
+*   Format           : Free
+*   Constraints      : 0
+*   Variables        : 1
+*     Binary         : 0
+*     Integer        : 0
+*     Continuous     : 1
+NAME          SupportedMaximizationProblem
+OBJSENSE
+  MAX
+ROWS
+ N  COST
+COLUMNS
+    X_ONE   COST         1
+BOUNDS
+ UP BOUND   X_ONE        4
+ENDATA
+

examples/data/tests/small_model.lp

@@ -0,0 +1,7 @@
+min: x + y;
+bin: b1, b2, b3;
+1 <= x <= 42;
+constraint_num1: 5 b1 + 3b2 + x <= 7;
+4 y + b2 - 3 b3 <= 2;
+constraint_num2: -4 b1 + b2 - 3 z <= -2;
+

examples/tests/model_builder_test.py

@@ -17,6 +17,7 @@ import math
 
 from ortools.model_builder.python import model_builder
 import unittest
+import os
 
 
 class ModelBuilderTest(unittest.TestCase):
@@ -123,8 +124,7 @@ ENDATA
         self.assertEqual(model.name, 'SupportedMaximizationProblem')
 
     def test_import_from_mps_file(self):
-        mps_path = resources.GetResourceFilename('ortools.linear_solver/'
-                                                 'testdata/maximization.mps')
+        mps_path = f'{os.path.dirname(__file__)}/../data/tests/maximization.mps'
         model = model_builder.ModelBuilder()
         self.assertTrue(model.import_from_mps_file(mps_path))
         self.assertEqual(model.name, 'SupportedMaximizationProblem')
@@ -147,7 +147,7 @@ ENDATA
         self.assertEqual('x', model.var_from_index(0).name)
 
     def test_import_from_lp_file(self):
-        lp_path = resources.GetResourceFilename('testdata/small_model.lp')
+        lp_path = f'{os.path.dirname(__file__)}/../data/tests/small_model.lp'
         model = model_builder.ModelBuilder()
         self.assertTrue(model.import_from_lp_file(lp_path))
         self.assertEqual(6, model.num_variables)