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[CodeStyle][DocFormat][122] Use pycon marker in python/paddle/distributed/fleet/data_generator/data_generator.py #77986

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Merged
SigureMo merged 1 commit into from
Feb 19, 2026
+10 −5
Merged

[CodeStyle][DocFormat][122] Use pycon marker in python/paddle/distributed/fleet/data_generator/data_generator.py #77986

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15 changes: 10 additions & 5 deletions python/paddle/distributed/fleet/data_generator/data_generator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -41,14 +41,15 @@ def set_batch(self, batch_size):

Example:

.. code-block:: python
.. code-block:: pycon

>>> import paddle.distributed.fleet.data_generator as dg
>>> class MyData(dg.DataGenerator):
... def generate_sample(self, line):
... def local_iter():
... int_words = [int(x) for x in line.split()]
... yield ("words", int_words)
...
... return local_iter
...
... def generate_batch(self, samples):
Expand All @@ -67,14 +68,15 @@ def run_from_memory(self):
debug and benchmarking

Example:
.. code-block:: python
.. code-block:: pycon

>>> # doctest: +SKIP('raise NotImplementedError')
>>> import paddle.distributed.fleet.data_generator as dg
>>> class MyData(dg.DataGenerator):
... def generate_sample(self, line):
... def local_iter():
... yield ("words", [1, 2, 3, 4])
...
... return local_iter
>>> mydata = MyData()
>>> mydata.run_from_memory()
Expand Down Expand Up @@ -105,14 +107,15 @@ def run_from_stdin(self):

Example:

.. code-block:: python
.. code-block:: pycon

>>> import paddle.distributed.fleet.data_generator as dg
>>> class MyData(dg.DataGenerator):
... def generate_sample(self, line):
... def local_iter():
... int_words = [int(x) for x in line.split()]
... yield ("words", [int_words])
...
... return local_iter
>>> mydata = MyData()
>>> mydata.run_from_stdin()
Expand Down Expand Up @@ -176,14 +179,15 @@ def generate_sample(self, line):

Example:

.. code-block:: python
.. code-block:: pycon

>>> import paddle.distributed.fleet.data_generator as dg
>>> class MyData(dg.DataGenerator):
... def generate_sample(self, line):
... def local_iter():
... int_words = [int(x) for x in line.split()]
... yield ("words", [int_words])
...
... return local_iter
'''
raise NotImplementedError(
Expand All @@ -207,14 +211,15 @@ def generate_batch(self, samples):

Example:

.. code-block:: python
.. code-block:: pycon

>>> import paddle.distributed.fleet.data_generator as dg
>>> class MyData(dg.DataGenerator):
... def generate_sample(self, line):
... def local_iter():
... int_words = [int(x) for x in line.split()]
... yield ("words", int_words)
...
... return local_iter
...
... def generate_batch(self, samples):
Expand Down