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authorTim Peters <tim.peters@gmail.com>2006-01-01 01:19:23 (GMT)
committerTim Peters <tim.peters@gmail.com>2006-01-01 01:19:23 (GMT)
commit60b29961dcabc277ca1a14b58cfb4592020ca658 (patch)
tree0e4687f79db81611e81ebddc9f8555b3c294b1c4 /Objects
parent0cdc3d884ef0ac7a19446680e135b606875c12e4 (diff)
downloadcpython-60b29961dcabc277ca1a14b58cfb4592020ca658.zip
cpython-60b29961dcabc277ca1a14b58cfb4592020ca658.tar.gz
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Fixed English in a comment; trimmed trailing whitespace;
no code changes.
Diffstat (limited to 'Objects')
-rw-r--r--Objects/dictobject.c22
1 files changed, 11 insertions, 11 deletions
diff --git a/Objects/dictobject.c b/Objects/dictobject.c
index 42e55e8..cf88f34 100644
--- a/Objects/dictobject.c
+++ b/Objects/dictobject.c
@@ -2,7 +2,7 @@
/* Dictionary object implementation using a hash table */
/* The distribution includes a separate file, Objects/dictnotes.txt,
- describing explorations into dictionary design and optimization.
+ describing explorations into dictionary design and optimization.
It covers typical dictionary use patterns, the parameters for
tuning dictionaries, and several ideas for possible optimizations.
*/
@@ -519,10 +519,10 @@ PyDict_GetItem(PyObject *op, PyObject *key)
}
/* CAUTION: PyDict_SetItem() must guarantee that it won't resize the
- * dictionary if it is merely replacing the value for an existing key.
- * This is means that it's safe to loop over a dictionary with
- * PyDict_Next() and occasionally replace a value -- but you can't
- * insert new keys or remove them.
+ * dictionary if it's merely replacing the value for an existing key.
+ * This means that it's safe to loop over a dictionary with PyDict_Next()
+ * and occasionally replace a value -- but you can't insert new keys or
+ * remove them.
*/
int
PyDict_SetItem(register PyObject *op, PyObject *key, PyObject *value)
@@ -554,15 +554,15 @@ PyDict_SetItem(register PyObject *op, PyObject *key, PyObject *value)
/* If we added a key, we can safely resize. Otherwise just return!
* If fill >= 2/3 size, adjust size. Normally, this doubles or
* quaduples the size, but it's also possible for the dict to shrink
- * (if ma_fill is much larger than ma_used, meaning a lot of dict
+ * (if ma_fill is much larger than ma_used, meaning a lot of dict
* keys have been * deleted).
- *
+ *
* Quadrupling the size improves average dictionary sparseness
* (reducing collisions) at the cost of some memory and iteration
* speed (which loops over every possible entry). It also halves
* the number of expensive resize operations in a growing dictionary.
- *
- * Very large dictionaries (over 50K items) use doubling instead.
+ *
+ * Very large dictionaries (over 50K items) use doubling instead.
* This may help applications with severe memory constraints.
*/
if (!(mp->ma_used > n_used && mp->ma_fill*3 >= (mp->ma_mask+1)*2))
@@ -734,7 +734,7 @@ dict_dealloc(register dictobject *mp)
PyMem_DEL(mp->ma_table);
if (num_free_dicts < MAXFREEDICTS && mp->ob_type == &PyDict_Type)
free_dicts[num_free_dicts++] = mp;
- else
+ else
mp->ob_type->tp_free((PyObject *)mp);
Py_TRASHCAN_SAFE_END(mp)
}
@@ -2251,7 +2251,7 @@ static PyObject *dictiter_iternextitem(dictiterobject *di)
Py_DECREF(PyTuple_GET_ITEM(result, 1));
} else {
result = PyTuple_New(2);
- if (result == NULL)
+ if (result == NULL)
return NULL;
}
di->len--;