MAINT, DOC: fix new typos detected by codespell

15 files changed, 18 insertions, 18 deletions

diff --git a/doc/RELEASE_WALKTHROUGH.rst.txt b/doc/RELEASE_WALKTHROUGH.rst.txt
index 9324ce971..c4e305909 100644
--- a/doc/RELEASE_WALKTHROUGH.rst.txt
+++ b/doc/RELEASE_WALKTHROUGH.rst.txt
@@ -12,7 +12,7 @@ ensure that you have the needed software. Most software can be installed with
 pip, but some will require apt-get, dnf, or whatever your system uses for
 software. Note that at this time the documentation cannot be built with Python
 3.10, for that use 3.8-3.9 instead. You will also need a GitHub personal access
-token (PAT) to push the documention. There are a few ways to streamline things.
+token (PAT) to push the documentation. There are a few ways to streamline things.
 
 - Git can be set up to use a keyring to store your GitHub personal access token.
   Search online for the details.
diff --git a/doc/neps/nep-0005-generalized-ufuncs.rst b/doc/neps/nep-0005-generalized-ufuncs.rst
index 43459a555..8ef6f3453 100644
--- a/doc/neps/nep-0005-generalized-ufuncs.rst
+++ b/doc/neps/nep-0005-generalized-ufuncs.rst
@@ -45,7 +45,7 @@ determines how the dimensions of each input/output object are split
 into core and loop dimensions:
 
 #. While an input array has a smaller dimensionality than the corresponding
-   number of core dimensions, 1's are pre-pended to its shape.
+   number of core dimensions, 1's are prepended to its shape.
 #. The core dimensions are removed from all inputs and the remaining
    dimensions are broadcasted; defining the loop dimensions.
 #. The output is given by the loop dimensions plus the output core dimensions.
diff --git a/doc/release/upcoming_changes/15006.new_feature.rst b/doc/release/upcoming_changes/15006.new_feature.rst
index 80d878aa6..fe751921e 100644
--- a/doc/release/upcoming_changes/15006.new_feature.rst
+++ b/doc/release/upcoming_changes/15006.new_feature.rst
@@ -1,7 +1,7 @@
 crackfortran has support for operator and assignment overloading
 ----------------------------------------------------------------
-``crackfortran`` parser now understands operator and assignement
-defintions in a module. They are added in the ``body`` list of the
+``crackfortran`` parser now understands operator and assignment
+definitions in a module. They are added in the ``body`` list of the
 module which contains a new key ``implementedby`` listing the names
 of the subroutines or functions implementing the operator or
 assignment.
diff --git a/doc/source/reference/simd/build-options.rst b/doc/source/reference/simd/build-options.rst
index 0a40d3ff5..0994f15aa 100644
--- a/doc/source/reference/simd/build-options.rst
+++ b/doc/source/reference/simd/build-options.rst
@@ -79,7 +79,7 @@ I am building NumPy for my local use
 And I do not intend to export the build to other users or target a
 different CPU than what the host has.
 
-Set `native` for baseline, or manualy specify the CPU features in case of option
+Set `native` for baseline, or manually specify the CPU features in case of option
 `native` isn't supported by your platform::
 
     python setup.py build --cpu-baseline="native" bdist
@@ -235,7 +235,7 @@ Behaviors
     python setup.py build --cpu-baseline=ssse3,sse41,sse42,avx,avx2,fma3
 
 - ``--cpu-dispatch`` escapes any specified baseline features and also escapes
-  any features not supported by the target platform or compiler without rasing
+  any features not supported by the target platform or compiler without raising
   fatal errors.
 
 Eventually, you should always check the final report through the build log
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 a8d73af3f..11d1810f9 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}
 
@@ -4093,7 +4093,7 @@ 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 415ff0f07..27a2cfcd5 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