From b1bcda6501e8d9898c0632193dd6d254c7dd24b7 Mon Sep 17 00:00:00 2001
From: Zax Rosenberg <zax.rosenberg@gmail.com>
Date: Wed, 9 Jan 2019 15:00:51 -0600
Subject: [PATCH] Hotfix: np.ravel and get_duplicates() future warnings

---
 engarde/checks.py  | 11 ++++++++---
 engarde/generic.py |  7 +++++--
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/engarde/checks.py b/engarde/checks.py
index bed8281..18071ea 100644
--- a/engarde/checks.py
+++ b/engarde/checks.py
@@ -43,6 +43,7 @@ def none_missing(df, columns=None):
         raise
     return df
 
+
 def is_monotonic(df, items=None, increasing=None, strict=False):
     """
     Asserts that the DataFrame is monotonic.
@@ -84,6 +85,7 @@ def is_monotonic(df, items=None, increasing=None, strict=False):
             raise AssertionError
     return df
 
+
 def is_shape(df, shape):
     """
     Asserts that the DataFrame is of a known shape.
@@ -150,7 +152,7 @@ def unique_index(df):
     try:
         assert df.index.is_unique
     except AssertionError as e:
-        e.args = df.index.get_duplicates()
+        e.args = df.index[df.index.duplicated()].unique()
         raise
     return df
 
@@ -176,6 +178,7 @@ def within_set(df, items=None):
             raise AssertionError('Not in set', bad)
     return df
 
+
 def within_range(df, items=None):
     """
     Assert that a DataFrame is within a range.
@@ -197,6 +200,7 @@ def within_range(df, items=None):
             raise AssertionError("Outside range", bad)
     return df
 
+
 def within_n_std(df, n=3):
     """
     Assert that every value is within ``n`` standard
@@ -220,6 +224,7 @@ def within_n_std(df, n=3):
         raise AssertionError(msg)
     return df
 
+
 def has_dtypes(df, items):
     """
     Assert that a DataFrame has ``dtypes``
@@ -237,7 +242,7 @@ def has_dtypes(df, items):
     dtypes = df.dtypes
     for k, v in items.items():
         if not dtypes[k] == v:
-            raise AssertionError("{} has the wrong dtype. Should be ({}), is ({})".format(k, v,dtypes[k]))
+            raise AssertionError("{} has the wrong dtype. Should be ({}), is ({})".format(k, v, dtypes[k]))
     return df
 
 
@@ -298,4 +303,4 @@ def is_same_as(df, df_to_compare, **kwargs):
 __all__ = ['is_monotonic', 'is_same_as', 'is_shape', 'none_missing',
            'unique_index', 'within_n_std', 'within_range', 'within_set',
            'has_dtypes', 'verify', 'verify_all', 'verify_any',
-           'one_to_many','is_same_as',]
+           'one_to_many', 'is_same_as', ]
diff --git a/engarde/generic.py b/engarde/generic.py
index 0265924..b481b10 100644
--- a/engarde/generic.py
+++ b/engarde/generic.py
@@ -37,6 +37,7 @@ def verify(df, check, *args, **kwargs):
         raise
     return df
 
+
 def verify_all(df, check, *args, **kwargs):
     """
     Verify that all the entries in ``check(df, *args, **kwargs)``
@@ -51,6 +52,7 @@ def verify_all(df, check, *args, **kwargs):
         raise
     return df
 
+
 def verify_any(df, check, *args, **kwargs):
     """
     Verify that any of the entries in ``check(df, *args, **kwargs)``
@@ -69,12 +71,13 @@ def verify_any(df, check, *args, **kwargs):
 # Error reporting
 # ---------------
 
+
 def bad_locations(df):
     columns = df.columns
     all_locs = chain.from_iterable(zip(df.index, cycle([col])) for col in columns)
-    bad = pd.Series(list(all_locs))[np.asarray(df).ravel(1)]
+    bad = pd.Series(list(all_locs))[np.asarray(df).ravel(order='F')]
     msg = bad.values
     return msg
 
-__all__ = ['verify', 'verify_all', 'verify_any', 'bad_locations']
 
+__all__ = ['verify', 'verify_all', 'verify_any', 'bad_locations']