Merge pull request #20784 from DimitriPapadopoulos/codespell

MAINT, DOC: fix new typos detected by codespell

11 files changed, 12 insertions, 12 deletions

diff --git a/numpy/_globals.py b/numpy/_globals.py
index c88874725..593d90e42 100644
--- a/numpy/_globals.py
+++ b/numpy/_globals.py
@@ -116,7 +116,7 @@ class _CopyMode(enum.Enum):
     NEVER = 2
 
     def __bool__(self):
-        # For backwards compatiblity
+        # For backwards compatibility
         if self == _CopyMode.ALWAYS:
             return True
 
diff --git a/numpy/core/_add_newdocs.py b/numpy/core/_add_newdocs.py
index 219383e1e..a800143a8 100644
--- a/numpy/core/_add_newdocs.py
+++ b/numpy/core/_add_newdocs.py
@@ -833,7 +833,7 @@ add_newdoc('numpy.core.multiarray', 'array',
         the returned array will be forced to be a base-class array (default).
     ndmin : int, optional
         Specifies the minimum number of dimensions that the resulting
-        array should have.  Ones will be pre-pended to the shape as
+        array should have.  Ones will be prepended to the shape as
         needed to meet this requirement.
     ${ARRAY_FUNCTION_LIKE}
 
@@ -4097,7 +4097,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('partition',
 
     See Also
     --------
-    numpy.partition : Return a parititioned copy of an array.
+    numpy.partition : Return a partitioned copy of an array.
     argpartition : Indirect partition.
     sort : Full sort.
 
diff --git a/numpy/core/include/numpy/experimental_dtype_api.h b/numpy/core/include/numpy/experimental_dtype_api.h
index 83639f186..88565cd52 100644
--- a/numpy/core/include/numpy/experimental_dtype_api.h
+++ b/numpy/core/include/numpy/experimental_dtype_api.h
@@ -141,7 +141,7 @@ typedef struct {
  * NOTE: Expected changes:
  *       * invert logic of floating point error flag
  *       * probably split runtime and general flags into two
- *       * should possibly not use an enum for typdef for more stable ABI?
+ *       * should possibly not use an enum for typedef for more stable ABI?
  */
 typedef enum {
     /* Flag for whether the GIL is required */
diff --git a/numpy/core/src/common/simd/vsx/vsx.h b/numpy/core/src/common/simd/vsx/vsx.h
index 66b76208f..b4d8172a2 100644
--- a/numpy/core/src/common/simd/vsx/vsx.h
+++ b/numpy/core/src/common/simd/vsx/vsx.h
@@ -61,7 +61,7 @@ typedef struct { npyv_f64 val[3]; } npyv_f64x3;
 #define npyv_nlanes_f32 4
 #define npyv_nlanes_f64 2
 
-// using __bool with typdef cause ambiguous errors
+// using __bool with typedef cause ambiguous errors
 #define npyv_b8  __vector __bool char
 #define npyv_b16 __vector __bool short
 #define npyv_b32 __vector __bool int
diff --git a/numpy/core/src/umath/reduction.c b/numpy/core/src/umath/reduction.c
index 8cb44d433..8c4df6e02 100644
--- a/numpy/core/src/umath/reduction.c
+++ b/numpy/core/src/umath/reduction.c
@@ -337,7 +337,7 @@ PyUFunc_ReduceWrapper(PyArrayMethod_Context *context,
 
     /*
      * Note that we need to ensure that the iterator is reset before getting
-     * the fixed strides.  (The buffer information is unitialized before.)
+     * the fixed strides.  (The buffer information is uninitialized before.)
      */
     npy_intp fixed_strides[3];
     NpyIter_GetInnerFixedStrideArray(iter, fixed_strides);
diff --git a/numpy/core/src/umath/ufunc_object.c b/numpy/core/src/umath/ufunc_object.c
index 2674c85d9..7b0db9e04 100644
--- a/numpy/core/src/umath/ufunc_object.c
+++ b/numpy/core/src/umath/ufunc_object.c
@@ -2704,7 +2704,7 @@ PyUFunc_GenericFunction(PyUFuncObject *NPY_UNUSED(ufunc),
  * @param out_descrs New references to the resolved descriptors (on success).
  * @param method The ufunc method, "reduce", "reduceat", or "accumulate".
 
- * @returns ufuncimpl The `ArrayMethod` implemention to use. Or NULL if an
+ * @returns ufuncimpl The `ArrayMethod` implementation to use. Or NULL if an
  *          error occurred.
  */
 static PyArrayMethodObject *
diff --git a/numpy/core/tests/test_api.py b/numpy/core/tests/test_api.py
index d3c7211cd..22a06619c 100644
--- a/numpy/core/tests/test_api.py
+++ b/numpy/core/tests/test_api.py
@@ -144,7 +144,7 @@ def test_array_array():
 
 @pytest.mark.parametrize("array", [True, False])
 def test_array_impossible_casts(array):
-    # All builtin types can forst cast as least theoretically
+    # All builtin types can be forcibly cast, at least theoretically,
     # but user dtypes cannot necessarily.
     rt = rational(1, 2)
     if array:
diff --git a/numpy/distutils/checks/cpu_vxe.c b/numpy/distutils/checks/cpu_vxe.c
index ca41f8434..e6933adce 100644
--- a/numpy/distutils/checks/cpu_vxe.c
+++ b/numpy/distutils/checks/cpu_vxe.c
@@ -12,7 +12,7 @@ int main(int argc, char **argv)
     __vector bool int m = vec_cmpge(x, y);
     x = vec_sel(x, y, m);
 
-    // need to test the existance of intrin "vflls" since vec_doublee
+    // need to test the existence of intrin "vflls" since vec_doublee
     // is vec_doublee maps to wrong intrin "vfll".
     // see https://gcc.gnu.org/bugzilla/show_bug.cgi?id=100871
 #if defined(__GNUC__) && !defined(__clang__)
diff --git a/numpy/f2py/crackfortran.py b/numpy/f2py/crackfortran.py
index 10b210d14..aacd2c676 100755
--- a/numpy/f2py/crackfortran.py
+++ b/numpy/f2py/crackfortran.py
@@ -2686,7 +2686,7 @@ def analyzevars(block):
                                 # Skip a variable that
                                 # - n depends on
                                 # - has user-defined initialization expression
-                                # - has user-defined dependecies
+                                # - has user-defined dependencies
                                 continue
                             if solver is not None:
                                 # v can be solved from d, hence, we
diff --git a/numpy/lib/npyio.py b/numpy/lib/npyio.py
index a6c2d4c2d..bbf896bda 100644
--- a/numpy/lib/npyio.py
+++ b/numpy/lib/npyio.py
@@ -818,7 +818,7 @@ def _loadtxt_pack_items(packing, items):
 
 def _ensure_ndmin_ndarray_check_param(ndmin):
     """Just checks if the param ndmin is supported on
-        _ensure_ndmin_ndarray. Is intented to be used as
+        _ensure_ndmin_ndarray. It is intended to be used as
         verification before running anything expensive.
         e.g. loadtxt, genfromtxt
     """
diff --git a/numpy/testing/_private/extbuild.py b/numpy/testing/_private/extbuild.py
index 20bf3dcea..940e2f7d7 100644
--- a/numpy/testing/_private/extbuild.py
+++ b/numpy/testing/_private/extbuild.py
@@ -27,7 +27,7 @@ def build_and_import_extension(
     functions : list of fragments
         Each fragment is a sequence of func_name, calling convention, snippet.
     prologue : string
-        Code to preceed the rest, usually extra ``#include`` or ``#define``
+        Code to precede the rest, usually extra ``#include`` or ``#define``
         macros.
     build_dir : pathlib.Path
         Where to build the module, usually a temporary directory