MAINT: Misc. typos (#11005)

User- and non-user-facing typos.

Some source typos fixes as well.

Found via `codespell`.

4 files changed, 7 insertions, 7 deletions

diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index 43d62a7ff..5dc96775b 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -1525,9 +1525,9 @@ class TestDigitize(object):
 class TestUnwrap(object):
 
     def test_simple(self):
-        # check that unwrap removes jumps greather that 2*pi
+        # check that unwrap removes jumps greater that 2*pi
         assert_array_equal(unwrap([1, 1 + 2 * np.pi]), [1, 1])
-        # check that unwrap maintans continuity
+        # check that unwrap maintains continuity
         assert_(np.all(diff(unwrap(rand(10) * 100)) < np.pi))
 
 
@@ -2759,7 +2759,7 @@ class TestQuantile(object):
         assert_equal(np.quantile(x, 0.5), 1.75)
 
     def test_no_p_overwrite(self):
-        # this is worth retesting, beause quantile does not make a copy
+        # this is worth retesting, because quantile does not make a copy
         p0 = np.array([0, 0.75, 0.25, 0.5, 1.0])
         p = p0.copy()
         np.quantile(np.arange(100.), p, interpolation="midpoint")
diff --git a/numpy/lib/tests/test_histograms.py b/numpy/lib/tests/test_histograms.py
index 06daacbdc..597b5b376 100644
--- a/numpy/lib/tests/test_histograms.py
+++ b/numpy/lib/tests/test_histograms.py
@@ -253,7 +253,7 @@ class TestHistogram(object):
         one_nan = np.array([0, 1, np.nan])
         all_nan = np.array([np.nan, np.nan])
 
-        # the internal commparisons with NaN give warnings
+        # the internal comparisons with NaN give warnings
         sup = suppress_warnings()
         sup.filter(RuntimeWarning)
         with sup:
diff --git a/numpy/lib/tests/test_nanfunctions.py b/numpy/lib/tests/test_nanfunctions.py
index e69d9dd7d..42e221506 100644
--- a/numpy/lib/tests/test_nanfunctions.py
+++ b/numpy/lib/tests/test_nanfunctions.py
@@ -912,7 +912,7 @@ class TestNanFunctions_Quantile(object):
         assert_equal(np.nanquantile(x, 0.5), 1.75)
 
     def test_no_p_overwrite(self):
-        # this is worth retesting, beause quantile does not make a copy
+        # this is worth retesting, because quantile does not make a copy
         p0 = np.array([0, 0.75, 0.25, 0.5, 1.0])
         p = p0.copy()
         np.nanquantile(np.arange(100.), p, interpolation="midpoint")
diff --git a/numpy/lib/tests/test_shape_base.py b/numpy/lib/tests/test_shape_base.py
index 080fd066d..0e86fbb19 100644
--- a/numpy/lib/tests/test_shape_base.py
+++ b/numpy/lib/tests/test_shape_base.py
@@ -79,7 +79,7 @@ class TestApplyAlongAxis(object):
 
     def test_axis_insertion(self, cls=np.ndarray):
         def f1to2(x):
-            """produces an assymmetric non-square matrix from x"""
+            """produces an asymmetric non-square matrix from x"""
             assert_equal(x.ndim, 1)
             return (x[::-1] * x[1:,None]).view(cls)
 
@@ -123,7 +123,7 @@ class TestApplyAlongAxis(object):
 
     def test_axis_insertion_ma(self):
         def f1to2(x):
-            """produces an assymmetric non-square matrix from x"""
+            """produces an asymmetric non-square matrix from x"""
             assert_equal(x.ndim, 1)
             res = x[::-1] * x[1:,None]
             return np.ma.masked_where(res%5==0, res)