fix import

tableone/__init__.py

@@ -1,6 +1,5 @@
 # Import tableone objects
 from .tableone import TableOne
-from .modality import hartigan_diptest
 
 __author__ = "Tom Pollard <[email protected]>, Alistair Johnson, Jesse Raffa"
 __version__ = "0.7.3"

tableone/tableone.py

@@ -12,7 +12,7 @@
 from statsmodels.stats import multitest
 from tabulate import tabulate
 
-from tableone import hartigan_diptest
+from tableone.modality import hartigan_diptest
 
 # display deprecation warnings
 warnings.simplefilter('always', DeprecationWarning)

test_tableone.py

@@ -4,13 +4,13 @@
 from nose.tools import (with_setup, assert_raises, assert_equal,
                         assert_almost_equal)
 import numpy as np
-import modality
 import pandas as pd
 from scipy import stats
 
 import tableone
 from tableone import TableOne
 from tableone.tableone import InputError
+from tableone.modality import hartigan_diptest, generate_data
 
 
 def mytest(*args):
@@ -297,16 +297,16 @@ def test_hartigan_diptest_for_modality(self):
         Ensure that the package runs Fisher exact if cell counts are <=5
         and it is a 2x2
         """
-        dist_1_peak = modality.generate_data(peaks=1, n=[10000])
-        t1 = modality.hartigan_diptest(dist_1_peak)
+        dist_1_peak = generate_data(peaks=1, n=[10000])
+        t1 = hartigan_diptest(dist_1_peak)
         assert t1 > 0.95
 
-        dist_2_peak = modality.generate_data(peaks=2, n=[10000, 10000])
-        t2 = modality.hartigan_diptest(dist_2_peak)
+        dist_2_peak = generate_data(peaks=2, n=[10000, 10000])
+        t2 = hartigan_diptest(dist_2_peak)
         assert t2 < 0.05
 
-        dist_3_peak = modality.generate_data(peaks=3, n=[10000, 10000, 10000])
-        t3 = modality.hartigan_diptest(dist_3_peak)
+        dist_3_peak = generate_data(peaks=3, n=[10000, 10000, 10000])
+        t3 = hartigan_diptest(dist_3_peak)
         assert t3 < 0.05
 
     @with_setup(setup, teardown)