Revert "FIX Hotfix Skip non deterministic tests on PowerPC (scikit-learn#13323)"

Xing · web-flow · commit df62c793283e · 2019-04-28T15:16:17.000-04:00
This reverts commit b76763e.
diff --git a/sklearn/base.py b/sklearn/base.py
@@ -6,7 +6,7 @@
 import copy
 import warnings
 from collections import defaultdict
-import platform
+import struct
 import inspect
 
 import numpy as np
@@ -555,11 +555,10 @@ def _more_tags(self):
         return {'multioutput': True}
 
 
-class _UnstableArchMixin(object):
-    """Mark estimators that are non-determinstic on 32bit or PowerPC"""
+class _UnstableOn32BitMixin(object):
+    """Mark estimators that are non-determinstic on 32bit."""
     def _more_tags(self):
-        return {'non_deterministic': (
-            _IS_32BIT or platform.machine().startswith(('ppc', 'powerpc')))}
+        return {'non_deterministic': _IS_32BIT}
 
 
 def is_classifier(estimator):
diff --git a/sklearn/cross_decomposition/cca_.py b/sklearn/cross_decomposition/cca_.py
@@ -1,10 +1,10 @@
 from .pls_ import _PLS
-from ..base import _UnstableArchMixin
+from ..base import _UnstableOn32BitMixin
 
 __all__ = ['CCA']
 
 
-class CCA(_PLS, _UnstableArchMixin):
+class CCA(_PLS, _UnstableOn32BitMixin):
     """CCA Canonical Correlation Analysis.
 
     CCA inherits from PLS with mode="B" and deflation_mode="canonical".
diff --git a/sklearn/manifold/locally_linear.py b/sklearn/manifold/locally_linear.py
@@ -9,7 +9,7 @@
 from scipy.sparse import eye, csr_matrix
 from scipy.sparse.linalg import eigsh
 
-from ..base import BaseEstimator, TransformerMixin, _UnstableArchMixin
+from ..base import BaseEstimator, TransformerMixin, _UnstableOn32BitMixin
 from ..utils import check_random_state, check_array
 from ..utils.extmath import stable_cumsum
 from ..utils.validation import check_is_fitted
@@ -519,7 +519,7 @@ def locally_linear_embedding(
 
 
 class LocallyLinearEmbedding(BaseEstimator, TransformerMixin,
-                             _UnstableArchMixin):
+                             _UnstableOn32BitMixin):
     """Locally Linear Embedding
 
     Read more in the :ref:`User Guide <locally_linear_embedding>`.
