diff -ur scikit-learn-0.14.1/examples/applications/wikipedia_principal_eigenvector.py scikit-learn-0.14.1.joblib/examples/applications/wikipedia_principal_eigenvector.py

--- scikit-learn-0.14.1/examples/applications/wikipedia_principal_eigenvector.py	2013-09-06 19:12:44.815336853 +0200

+++ scikit-learn-0.14.1.joblib/examples/applications/wikipedia_principal_eigenvector.py	2013-09-06 19:09:40.269822610 +0200

@@ -45,7 +45,7 @@

 from scipy import sparse

 from sklearn.utils.extmath import randomized_svd

-from sklearn.externals.joblib import Memory

+from joblib import Memory

 print(__doc__)

diff -ur scikit-learn-0.14.1/examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py scikit-learn-0.14.1.joblib/examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py

--- scikit-learn-0.14.1/examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py	2013-09-06 19:12:44.807336787 +0200

+++ scikit-learn-0.14.1.joblib/examples/cluster/plot_feature_agglomeration_vs_univariate_selection.py	2013-09-06 19:09:40.010820490 +0200

@@ -31,7 +31,7 @@

 from sklearn.linear_model import BayesianRidge

 from sklearn.pipeline import Pipeline

 from sklearn.grid_search import GridSearchCV

-from sklearn.externals.joblib import Memory

+from joblib import Memory

 from sklearn.cross_validation import KFold

 ###############################################################################

diff -ur scikit-learn-0.14.1/sklearn/cluster/hierarchical.py scikit-learn-0.14.1.joblib/sklearn/cluster/hierarchical.py

--- scikit-learn-0.14.1/sklearn/cluster/hierarchical.py	2013-09-06 19:12:45.005338414 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/cluster/hierarchical.py	2013-09-06 19:09:44.714858988 +0200

@@ -15,7 +15,7 @@

 from scipy.cluster import hierarchy

 from ..base import BaseEstimator, ClusterMixin

-from ..externals.joblib import Memory

+from joblib import Memory

 from ..externals import six

 from ..metrics import euclidean_distances

 from ..utils import array2d

diff -ur scikit-learn-0.14.1/sklearn/cluster/k_means_.py scikit-learn-0.14.1.joblib/sklearn/cluster/k_means_.py

--- scikit-learn-0.14.1/sklearn/cluster/k_means_.py	2013-09-06 19:12:45.008338439 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/cluster/k_means_.py	2013-09-06 19:09:44.760859364 +0200

@@ -23,8 +23,8 @@

 from ..utils import check_random_state

 from ..utils import atleast2d_or_csr

 from ..utils import as_float_array

-from ..externals.joblib import Parallel

-from ..externals.joblib import delayed

+from joblib import Parallel

+from joblib import delayed

 from . import _k_means

diff -ur scikit-learn-0.14.1/sklearn/covariance/graph_lasso_.py scikit-learn-0.14.1.joblib/sklearn/covariance/graph_lasso_.py

--- scikit-learn-0.14.1/sklearn/covariance/graph_lasso_.py	2013-09-06 19:12:44.892337486 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/covariance/graph_lasso_.py	2013-09-06 19:09:41.852835565 +0200

@@ -21,7 +21,7 @@

 from ..linear_model import lars_path

 from ..linear_model import cd_fast

 from ..cross_validation import check_cv, cross_val_score

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 import collections

diff -ur scikit-learn-0.14.1/sklearn/cross_validation.py scikit-learn-0.14.1.joblib/sklearn/cross_validation.py

--- scikit-learn-0.14.1/sklearn/cross_validation.py	2013-09-06 19:12:44.875337346 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/cross_validation.py	2013-09-06 19:09:41.485832562 +0200

@@ -22,7 +22,7 @@

 from .base import is_classifier, clone

 from .utils import check_arrays, check_random_state, safe_mask

 from .utils.fixes import unique

-from .externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from .externals.six import string_types, with_metaclass

 from .metrics.scorer import _deprecate_loss_and_score_funcs

diff -ur scikit-learn-0.14.1/sklearn/datasets/california_housing.py scikit-learn-0.14.1.joblib/sklearn/datasets/california_housing.py

--- scikit-learn-0.14.1/sklearn/datasets/california_housing.py	2013-09-06 19:12:44.951337971 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/datasets/california_housing.py	2013-09-06 19:09:43.522849233 +0200

@@ -31,7 +31,7 @@

 import numpy as np

 from .base import get_data_home, Bunch

-from ..externals import joblib

+import joblib

 DATA_URL = "http://lib.stat.cmu.edu/modules.php?op=modload&name=Downloads&"\

diff -ur scikit-learn-0.14.1/sklearn/datasets/covtype.py scikit-learn-0.14.1.joblib/sklearn/datasets/covtype.py

--- scikit-learn-0.14.1/sklearn/datasets/covtype.py	2013-09-06 19:12:44.949337954 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/datasets/covtype.py	2013-09-06 19:09:43.449848635 +0200

@@ -23,7 +23,7 @@

 from .base import get_data_home

 from .base import Bunch

-from ..externals import joblib

+import joblib

 from ..utils import check_random_state

diff -ur scikit-learn-0.14.1/sklearn/datasets/lfw.py scikit-learn-0.14.1.joblib/sklearn/datasets/lfw.py

--- scikit-learn-0.14.1/sklearn/datasets/lfw.py	2013-09-06 19:12:44.948337946 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/datasets/lfw.py	2013-09-06 19:09:43.439848553 +0200

@@ -31,7 +31,7 @@

 import urllib

 from .base import get_data_home, Bunch

-from ..externals.joblib import Memory

+from joblib import Memory

 from ..externals.six import b, u

diff -ur scikit-learn-0.14.1/sklearn/datasets/olivetti_faces.py scikit-learn-0.14.1.joblib/sklearn/datasets/olivetti_faces.py

--- scikit-learn-0.14.1/sklearn/datasets/olivetti_faces.py	2013-09-06 19:12:44.947337938 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/datasets/olivetti_faces.py	2013-09-06 19:09:43.400848234 +0200

@@ -39,7 +39,7 @@

 from .base import get_data_home, Bunch

 from ..utils import check_random_state

-from ..externals import joblib

+import joblib

 DATA_URL = "http://cs.nyu.edu/~roweis/data/olivettifaces.mat"

diff -ur scikit-learn-0.14.1/sklearn/datasets/species_distributions.py scikit-learn-0.14.1.joblib/sklearn/datasets/species_distributions.py

--- scikit-learn-0.14.1/sklearn/datasets/species_distributions.py	2013-09-06 19:12:44.950337962 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/datasets/species_distributions.py	2013-09-06 19:09:43.477848864 +0200

@@ -50,7 +50,7 @@

 import numpy as np

 from sklearn.datasets.base import get_data_home, Bunch

-from sklearn.externals import joblib

+import joblib

 DIRECTORY_URL = "http://www.cs.princeton.edu/~schapire/maxent/datasets/"

diff -ur scikit-learn-0.14.1/sklearn/datasets/twenty_newsgroups.py scikit-learn-0.14.1.joblib/sklearn/datasets/twenty_newsgroups.py

--- scikit-learn-0.14.1/sklearn/datasets/twenty_newsgroups.py	2013-09-06 19:12:44.949337954 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/datasets/twenty_newsgroups.py	2013-09-06 19:09:43.464848758 +0200

@@ -52,7 +52,7 @@

 from ..utils.fixes import in1d

 from ..feature_extraction.text import CountVectorizer

 from ..preprocessing import normalize

-from ..externals import joblib, six

+import joblib; from ..externals import six

 if six.PY3:

     from urllib.request import urlopen

diff -ur scikit-learn-0.14.1/sklearn/decomposition/dict_learning.py scikit-learn-0.14.1.joblib/sklearn/decomposition/dict_learning.py

--- scikit-learn-0.14.1/sklearn/decomposition/dict_learning.py	2013-09-06 19:12:44.900337552 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/decomposition/dict_learning.py	2013-09-06 19:09:42.042837120 +0200

@@ -15,7 +15,7 @@

 from numpy.lib.stride_tricks import as_strided

 from ..base import BaseEstimator, TransformerMixin

-from ..externals.joblib import Parallel, delayed, cpu_count

+from joblib import Parallel, delayed, cpu_count

 from ..externals.six.moves import zip

 from ..utils import array2d, check_random_state, gen_even_slices

 from ..utils.extmath import randomized_svd

diff -ur scikit-learn-0.14.1/sklearn/decomposition/tests/test_sparse_pca.py scikit-learn-0.14.1.joblib/sklearn/decomposition/tests/test_sparse_pca.py

--- scikit-learn-0.14.1/sklearn/decomposition/tests/test_sparse_pca.py	2013-09-06 19:12:44.906337601 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/decomposition/tests/test_sparse_pca.py	2013-09-06 19:09:42.197838389 +0200

@@ -65,7 +65,7 @@

     U1 = spca_lars.transform(Y)

     # Test multiple CPUs

     if sys.platform == 'win32':  # fake parallelism for win32

-        import sklearn.externals.joblib.parallel as joblib_par

+        import joblib.parallel as joblib_par

         _mp = joblib_par.multiprocessing

         joblib_par.multiprocessing = None

         try:

@@ -144,7 +144,7 @@

     U1 = spca_lars.transform(Y)

     # Test multiple CPUs

     if sys.platform == 'win32':  # fake parallelism for win32

-        import sklearn.externals.joblib.parallel as joblib_par

+        import joblib.parallel as joblib_par

         _mp = joblib_par.multiprocessing

         joblib_par.multiprocessing = None

         try:

diff -ur scikit-learn-0.14.1/sklearn/ensemble/forest.py scikit-learn-0.14.1.joblib/sklearn/ensemble/forest.py

--- scikit-learn-0.14.1/sklearn/ensemble/forest.py	2013-09-06 19:12:44.850337140 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/ensemble/forest.py	2013-09-06 19:09:41.000828593 +0200

@@ -44,7 +44,7 @@

 from abc import ABCMeta, abstractmethod

 from ..base import ClassifierMixin, RegressorMixin

-from ..externals.joblib import Parallel, delayed, cpu_count

+from joblib import Parallel, delayed, cpu_count

 from ..externals import six

 from ..externals.six.moves import xrange

 from ..feature_selection.from_model import _LearntSelectorMixin

diff -ur scikit-learn-0.14.1/sklearn/ensemble/partial_dependence.py scikit-learn-0.14.1.joblib/sklearn/ensemble/partial_dependence.py

--- scikit-learn-0.14.1/sklearn/ensemble/partial_dependence.py	2013-09-06 19:12:44.839337050 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/ensemble/partial_dependence.py	2013-09-06 19:09:40.788826858 +0200

@@ -14,7 +14,7 @@

 from scipy.stats.mstats import mquantiles

 from ..utils.extmath import cartesian

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from ..externals import six

 from ..externals.six.moves import xrange

 from ..utils import array2d

diff -ur scikit-learn-0.14.1/sklearn/externals/joblib/__init__.py scikit-learn-0.14.1.joblib/sklearn/externals/joblib/__init__.py

--- scikit-learn-0.14.1/sklearn/externals/joblib/__init__.py	2013-09-06 19:12:44.927337773 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/externals/joblib/__init__.py	2013-09-06 19:09:42.805843365 +0200

@@ -61,7 +61,7 @@

    computation to disk and rerun it only if necessary::

       >>> import numpy as np

-      >>> from sklearn.externals.joblib import Memory

+      >>> from joblib import Memory

       >>> mem = Memory(cachedir='/tmp/joblib')

       >>> import numpy as np

       >>> a = np.vander(np.arange(3)).astype(np.float)

@@ -80,7 +80,7 @@

 2) **Embarrassingly parallel helper:** to make is easy to write readable

    parallel code and debug it quickly::

-      >>> from sklearn.externals.joblib import Parallel, delayed

+      >>> from joblib import Parallel, delayed

       >>> from math import sqrt

       >>> Parallel(n_jobs=1)(delayed(sqrt)(i**2) for i in range(10))

       [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]

diff -ur scikit-learn-0.14.1/sklearn/externals/joblib/parallel.py scikit-learn-0.14.1.joblib/sklearn/externals/joblib/parallel.py

--- scikit-learn-0.14.1/sklearn/externals/joblib/parallel.py	2013-09-06 19:12:44.928337782 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/externals/joblib/parallel.py	2013-09-06 19:09:42.824843520 +0200

@@ -204,7 +204,7 @@

         A simple example:

         >>> from math import sqrt

-        >>> from sklearn.externals.joblib import Parallel, delayed

+        >>> from joblib import Parallel, delayed

         >>> Parallel(n_jobs=1)(delayed(sqrt)(i**2) for i in range(10))

         [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]

@@ -212,7 +212,7 @@

         values:

         >>> from math import modf

-        >>> from sklearn.externals.joblib import Parallel, delayed

+        >>> from joblib import Parallel, delayed

         >>> r = Parallel(n_jobs=1)(delayed(modf)(i/2.) for i in range(10))

         >>> res, i = zip(*r)

         >>> res

@@ -224,7 +224,7 @@

         messages::

             >>> from time import sleep

-            >>> from sklearn.externals.joblib import Parallel, delayed

+            >>> from joblib import Parallel, delayed

             >>> r = Parallel(n_jobs=2, verbose=5)(delayed(sleep)(.1) for _ in range(10)) #doctest: +SKIP

             [Parallel(n_jobs=2)]: Done   1 out of  10 | elapsed:    0.1s remaining:    0.9s

             [Parallel(n_jobs=2)]: Done   3 out of  10 | elapsed:    0.2s remaining:    0.5s

@@ -238,7 +238,7 @@

         child process::

          >>> from heapq import nlargest

-         >>> from sklearn.externals.joblib import Parallel, delayed

+         >>> from joblib import Parallel, delayed

          >>> Parallel(n_jobs=2)(delayed(nlargest)(2, n) for n in (range(4), 'abcde', 3)) #doctest: +SKIP

          #...

          ---------------------------------------------------------------------------

@@ -270,7 +270,7 @@

         number of iterations cannot be reported in the progress messages::

          >>> from math import sqrt

-         >>> from sklearn.externals.joblib import Parallel, delayed

+         >>> from joblib import Parallel, delayed

          >>> def producer():

          ...     for i in range(6):

diff -ur scikit-learn-0.14.1/sklearn/externals/setup.py scikit-learn-0.14.1.joblib/sklearn/externals/setup.py

--- scikit-learn-0.14.1/sklearn/externals/setup.py	2013-09-06 19:12:44.930337798 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/externals/setup.py	2013-09-06 19:12:23.764163896 +0200

@@ -4,7 +4,5 @@

 def configuration(parent_package='', top_path=None):

     from numpy.distutils.misc_util import Configuration

     config = Configuration('externals', parent_package, top_path)

-    config.add_subpackage('joblib')

-    config.add_subpackage('joblib/test')

     return config

diff -ur scikit-learn-0.14.1/sklearn/grid_search.py scikit-learn-0.14.1.joblib/sklearn/grid_search.py

--- scikit-learn-0.14.1/sklearn/grid_search.py	2013-09-06 19:12:44.886337436 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/grid_search.py	2013-09-06 19:09:41.714834436 +0200

@@ -24,7 +24,7 @@

 from .base import BaseEstimator, is_classifier, clone

 from .base import MetaEstimatorMixin

 from .cross_validation import check_cv

-from .externals.joblib import Parallel, delayed, logger

+from joblib import Parallel, delayed, logger

 from .externals import six

 from .utils import safe_mask, check_random_state

 from .utils.validation import _num_samples, check_arrays

diff -ur scikit-learn-0.14.1/sklearn/linear_model/base.py scikit-learn-0.14.1.joblib/sklearn/linear_model/base.py

--- scikit-learn-0.14.1/sklearn/linear_model/base.py	2013-09-06 19:12:44.970338127 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/linear_model/base.py	2013-09-06 19:09:43.929852563 +0200

@@ -21,7 +21,7 @@

 from scipy import sparse

 from ..externals import six

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from ..base import BaseEstimator, ClassifierMixin, RegressorMixin

 from ..utils import as_float_array, atleast2d_or_csr, safe_asarray

 from ..utils.extmath import safe_sparse_dot

diff -ur scikit-learn-0.14.1/sklearn/linear_model/coordinate_descent.py scikit-learn-0.14.1.joblib/sklearn/linear_model/coordinate_descent.py

--- scikit-learn-0.14.1/sklearn/linear_model/coordinate_descent.py	2013-09-06 19:12:44.962338061 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/linear_model/coordinate_descent.py	2013-09-06 19:09:43.786851393 +0200

@@ -19,7 +19,7 @@

 from .base import center_data

 from ..utils import array2d, atleast2d_or_csc, deprecated

 from ..cross_validation import check_cv

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from ..externals import six

 from ..externals.six.moves import xrange

 from ..utils.extmath import safe_sparse_dot

diff -ur scikit-learn-0.14.1/sklearn/linear_model/least_angle.py scikit-learn-0.14.1.joblib/sklearn/linear_model/least_angle.py

--- scikit-learn-0.14.1/sklearn/linear_model/least_angle.py	2013-09-06 19:12:44.967338102 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/linear_model/least_angle.py	2013-09-06 19:09:43.876852130 +0200

@@ -22,7 +22,7 @@

 from ..base import RegressorMixin

 from ..utils import array2d, arrayfuncs, as_float_array

 from ..cross_validation import check_cv

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from ..externals.six.moves import xrange

diff -ur scikit-learn-0.14.1/sklearn/linear_model/omp.py scikit-learn-0.14.1.joblib/sklearn/linear_model/omp.py

--- scikit-learn-0.14.1/sklearn/linear_model/omp.py	2013-09-06 19:12:44.969338119 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/linear_model/omp.py	2013-09-06 19:09:43.901852334 +0200

@@ -15,7 +15,7 @@

 from ..base import RegressorMixin

 from ..utils import array2d, as_float_array

 from ..cross_validation import check_cv

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from ..utils.arrayfuncs import solve_triangular

 premature = """ Orthogonal matching pursuit ended prematurely due to linear

diff -ur scikit-learn-0.14.1/sklearn/linear_model/randomized_l1.py scikit-learn-0.14.1.joblib/sklearn/linear_model/randomized_l1.py

--- scikit-learn-0.14.1/sklearn/linear_model/randomized_l1.py	2013-09-06 19:12:44.963338069 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/linear_model/randomized_l1.py	2013-09-06 19:09:43.818851655 +0200

@@ -17,7 +17,7 @@

 from .base import center_data

 from ..base import BaseEstimator, TransformerMixin

 from ..externals import six

-from ..externals.joblib import Memory, Parallel, delayed

+from joblib import Memory, Parallel, delayed

 from ..utils import (as_float_array, check_random_state, safe_asarray,

                      check_arrays, safe_mask)

 from .least_angle import lars_path, LassoLarsIC

diff -ur scikit-learn-0.14.1/sklearn/linear_model/stochastic_gradient.py scikit-learn-0.14.1.joblib/sklearn/linear_model/stochastic_gradient.py

--- scikit-learn-0.14.1/sklearn/linear_model/stochastic_gradient.py	2013-09-06 19:12:44.974338160 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/linear_model/stochastic_gradient.py	2013-09-06 19:09:43.990853063 +0200

@@ -10,7 +10,7 @@

 from abc import ABCMeta, abstractmethod

 import warnings

-from ..externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from .base import LinearClassifierMixin, SparseCoefMixin

 from ..base import BaseEstimator, RegressorMixin

diff -ur scikit-learn-0.14.1/sklearn/manifold/mds.py scikit-learn-0.14.1.joblib/sklearn/manifold/mds.py

--- scikit-learn-0.14.1/sklearn/manifold/mds.py	2013-09-06 19:12:44.987338267 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/manifold/mds.py	2013-09-06 19:09:44.293855542 +0200

@@ -12,8 +12,8 @@

 from ..base import BaseEstimator

 from ..metrics import euclidean_distances

 from ..utils import check_random_state, check_arrays

-from ..externals.joblib import Parallel

-from ..externals.joblib import delayed

+from joblib import Parallel

+from joblib import delayed

 from ..isotonic import IsotonicRegression

diff -ur scikit-learn-0.14.1/sklearn/metrics/pairwise.py scikit-learn-0.14.1.joblib/sklearn/metrics/pairwise.py

--- scikit-learn-0.14.1/sklearn/metrics/pairwise.py	2013-09-06 19:12:44.865337264 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/metrics/pairwise.py	2013-09-06 19:09:41.312831146 +0200

@@ -45,9 +45,9 @@

 from ..utils import gen_even_slices

 from ..utils.extmath import safe_sparse_dot

 from ..preprocessing import normalize

-from ..externals.joblib import Parallel

-from ..externals.joblib import delayed

-from ..externals.joblib.parallel import cpu_count

+from joblib import Parallel

+from joblib import delayed

+from joblib.parallel import cpu_count

 from .pairwise_fast import _chi2_kernel_fast

diff -ur scikit-learn-0.14.1/sklearn/multiclass.py scikit-learn-0.14.1.joblib/sklearn/multiclass.py

--- scikit-learn-0.14.1/sklearn/multiclass.py	2013-09-06 19:12:44.911337642 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/multiclass.py	2013-09-06 19:09:42.310839314 +0200

@@ -40,8 +40,8 @@

 from .preprocessing import LabelBinarizer

 from .metrics.pairwise import euclidean_distances

 from .utils import check_random_state

-from .externals.joblib import Parallel

-from .externals.joblib import delayed

+from joblib import Parallel

+from joblib import delayed

 def _fit_binary(estimator, X, y, classes=None):

diff -ur scikit-learn-0.14.1/sklearn/pipeline.py scikit-learn-0.14.1.joblib/sklearn/pipeline.py

--- scikit-learn-0.14.1/sklearn/pipeline.py	2013-09-06 19:12:44.918337699 +0200

+++ scikit-learn-0.14.1.joblib/sklearn/pipeline.py	2013-09-06 19:09:42.522841049 +0200

@@ -12,7 +12,7 @@

 from scipy import sparse

 from .base import BaseEstimator, TransformerMixin

-from .externals.joblib import Parallel, delayed

+from joblib import Parallel, delayed

 from .externals import six

 from .utils import tosequence

 from .externals.six import iteritems