diff options
Diffstat (limited to 'dev-python/patsy/files/patsy-0.5.6-np2.patch')
-rw-r--r-- | dev-python/patsy/files/patsy-0.5.6-np2.patch | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/dev-python/patsy/files/patsy-0.5.6-np2.patch b/dev-python/patsy/files/patsy-0.5.6-np2.patch new file mode 100644 index 000000000000..169eadb851fe --- /dev/null +++ b/dev-python/patsy/files/patsy-0.5.6-np2.patch @@ -0,0 +1,51 @@ +diff --git a/patsy/highlevel.py b/patsy/highlevel.py +index 78d2942..298739d 100644 +--- a/patsy/highlevel.py ++++ b/patsy/highlevel.py +@@ -178,7 +178,7 @@ def _do_highlevel_design(formula_like, data, eval_env, + else: + # subok=True is necessary here to allow DesignMatrixes to pass + # through +- (lhs, rhs) = (None, asarray_or_pandas(formula_like, subok=True)) ++ (lhs, rhs) = (None, asarray_or_pandas(formula_like, subok=True, copy=None)) + # some sort of explicit matrix or matrices were given. Currently we + # have them in one of these forms: + # -- an ndarray or subclass +diff --git a/patsy/state.py b/patsy/state.py +index 933c588..c489a4b 100644 +--- a/patsy/state.py ++++ b/patsy/state.py +@@ -103,7 +103,7 @@ class Center(object): + pass + + def transform(self, x): +- x = asarray_or_pandas(x) ++ x = asarray_or_pandas(x, copy=None) + # This doesn't copy data unless our input is a DataFrame that has + # heterogeneous types. And in that case we're going to be munging the + # types anyway, so copying isn't a big deal. +diff --git a/patsy/util.py b/patsy/util.py +index 3116e11..7ac6f79 100644 +--- a/patsy/util.py ++++ b/patsy/util.py +@@ -69,7 +69,7 @@ def asarray_or_pandas(a, copy=False, dtype=None, subok=False): + + def test_asarray_or_pandas(): + import warnings +- assert type(asarray_or_pandas([1, 2, 3])) is np.ndarray ++ assert type(asarray_or_pandas([1, 2, 3], copy=True)) is np.ndarray + with warnings.catch_warnings() as w: + warnings.filterwarnings('ignore', 'the matrix subclass', + PendingDeprecationWarning) +@@ -83,9 +83,9 @@ def test_asarray_or_pandas(): + assert np.array_equal(a, a_copy) + a_copy[0] = 100 + assert not np.array_equal(a, a_copy) +- assert np.allclose(asarray_or_pandas([1, 2, 3], dtype=float), ++ assert np.allclose(asarray_or_pandas([1, 2, 3], dtype=float, copy=None), + [1.0, 2.0, 3.0]) +- assert asarray_or_pandas([1, 2, 3], dtype=float).dtype == np.dtype(float) ++ assert asarray_or_pandas([1, 2, 3], dtype=float, copy=None).dtype == np.dtype(float) + a_view = asarray_or_pandas(a, dtype=a.dtype) + a_view[0] = 99 + assert a[0] == 99 |