Merge pull request #2187 from luzpaz/misc-typos

Misc. typos

Cython/Includes/cpython/long.pxd

@@ -146,4 +146,4 @@ cdef extern from "Python.h":
     # pointer. If pylong cannot be converted, an OverflowError will be
     # raised. This is only assured to produce a usable void pointer
     # for values created with PyLong_FromVoidPtr(). For values outside
-    # 0..LONG_MAX, both signed and unsigned integers are acccepted.
+    # 0..LONG_MAX, both signed and unsigned integers are accepted.

Cython/Includes/cpython/pystate.pxd

@@ -4,7 +4,7 @@ from .object cimport PyObject
 
 cdef extern from "Python.h":
 
-    # We make these an opague types. If the user wants specific attributes,
+    # We make these an opaque types. If the user wants specific attributes,
     # they can be declared manually.
 
     ctypedef struct PyInterpreterState:

Cython/Includes/libcpp/deque.pxd

@@ -5,7 +5,7 @@ cdef extern from "<deque>" namespace "std" nogil:
 
         # these should really be allocator_type.size_type and
         # allocator_type.difference_type to be true to the C++ definition
-        # but cython doesn't support defered access on template arguments
+        # but cython doesn't support deferred access on template arguments
         ctypedef size_t size_type
         ctypedef ptrdiff_t difference_type
 

Cython/Includes/libcpp/vector.pxd

@@ -5,7 +5,7 @@ cdef extern from "<vector>" namespace "std" nogil:
 
         # these should really be allocator_type.size_type and
         # allocator_type.difference_type to be true to the C++ definition
-        # but cython doesn't support defered access on template arguments
+        # but cython doesn't support deferred access on template arguments
         ctypedef size_t size_type
         ctypedef ptrdiff_t difference_type
 

docs/src/reference/compilation.rst

@@ -479,7 +479,7 @@ You can see them also by typing ```%%cython?`` in IPython or a Jupyter notebook.
 
 -l LIB, --lib LIB                             Add a library to link the extension against (can be specified multiple times).
 
--L dir                                        Add a path to the list of libary directories (can be specified multiple times).
+-L dir                                        Add a path to the list of library directories (can be specified multiple times).
 
 -I INCLUDE, --include INCLUDE                 Add a path to the list of include directories (can be specified multiple times).
 

docs/src/userguide/numpy_tutorial.rst

@@ -214,7 +214,7 @@ After building this and continuing my (very informal) benchmarks, I get:
 
 So in the end, adding types make the Cython code slower?
 
-What happend is that most of the time spend in this code is spent on line
+What happened is that most of the time spend in this code is spent on line
 54. ::
 
     value += g[smid - s, tmid - t] * f[v, w]
@@ -404,7 +404,7 @@ code work for multiple NumPy data types?
 Yes, with the help of a new feature called fused types.
 You can learn more about it at :ref:`this section of the documentation
 <fusedtypes>`.
-It is similar to C++ 's templates. It generates mutiple function declarations
+It is similar to C++ 's templates. It generates multiple function declarations
 at compile time, and then chooses the right one at run-time based on the
 types of the arguments provided. By comparing types in if-conditions, it
 is also possible to execute entirely different code paths depending