reconfigure paths for tests outside of package

MANIFEST.in

@@ -4,4 +4,3 @@ include DISCLAIMER
 include notebooks/*.*
 include data/tas-data/README.md
 include data/temp-data/README.md
-include tests/*.csv

tests/test_fx_recipe.py

@@ -1,12 +1,10 @@
 import unittest
-from importlib import resources
 
 import pandas as pd
 
 from stitches.fx_match import match_neighborhood
 from stitches.fx_recipe import (
     get_num_perms,
-    make_recipe,
     permute_stitching_recipes,
     remove_duplicates,
 )
@@ -465,9 +463,6 @@ class TestRecipe(unittest.TestCase):
         }
     )
 
-    # ###################################################
-    # tests
-    # ###################################################
 
     def test_get_num_perms(self):
         """
@@ -477,10 +472,10 @@ def test_get_num_perms(self):
         and that the list contains the expected columns.
         """
         # Read in the match test data.
-        path = resources.files("stitches") / "tests" / "test-match_w_dup.csv"
+        path = "test-match_w_dup.csv"
         match_data = pd.read_csv(path)
 
-        "Test get_num_perms"
+        # Test get_num_perms
         out = get_num_perms(match_data)
         self.assertEqual(type(out), list)
         # Throw an error if the output does not match what we would expect.

tests/test_match.py

@@ -1,5 +1,4 @@
 import unittest
-from importlib import resources
 
 import pandas as pd
 
@@ -21,15 +20,15 @@ def test_match_fxns(self):
         operates correctly.
         """
         # Read in some made up target data.
-        path = resources.files("stitches") / "tests" / "test-target_dat.csv"
+        path = "test-target_dat.csv"
         data = pd.read_csv(path)
 
         # Start by checking on a self test & without the drop hist constraint.
         self_match = match_neighborhood(data, data, tol=0)
         self.assertEqual(data.shape[0], self_match.shape[0])
 
         # Now try matching with the test archive
-        path = resources.files("stitches") / "tests" / "test-archive_dat.csv"
+        path = "test-archive_dat.csv"
         archive = pd.read_csv(path)
         match1 = match_neighborhood(data, archive, tol=0)
         # We know this must be true because the test archive contains duplicates of the
@@ -60,7 +59,7 @@ def test_match_fxns(self):
 
         "Test drop_hist_false_duplicates"
         # Read in the match test data.
-        path = resources.files("stitches") / "tests" / "test-match_w_dup.csv"
+        path = "test-match_w_dup.csv"
         match_data = pd.read_csv(path)
         cleaned = drop_hist_false_duplicates(match_data)
         self.assertTrue(nrow(match_data) > nrow(cleaned))

tests/test_util.py

@@ -1,6 +1,5 @@
 import os
 import unittest
-from importlib import resources
 
 import numpy as np
 import pandas as pd
@@ -81,12 +80,11 @@ def test_file_fxns(self):
         """
 
         # Make sure that all of the files returned by the list_files function are all true.
-        test_dir = resources.files("stitches") / "tests"
+        test_dir = "."
         out = list_files(test_dir)
         self.assertTrue(all(list(map(os.path.exists, out))))
 
-        # Make sure that we can load a csv data file
-        self.assertTrue(type(load_data_files("tests")) == pd.core.frame.DataFrame)
+        # test failure
         with self.assertRaises(TypeError):
             load_data_files("fake")