Fix text hooks regression and use dochooks v0.5.0 (PaddlePaddle#6909)

.pre-commit-config.yaml

@@ -20,7 +20,7 @@ repos:
         types: [text]
 # Document hooks
 -   repo: https://github.com/PFCCLab/dochooks
-    rev: v0.4.0
+    rev: v0.5.0
     hooks:
     -   id: insert-whitespace-between-cn-and-en-char
         files: \.md$|\.rst$

docs/api/paddle/optimizer/ASGD_cn.rst

@@ -4,8 +4,8 @@ ASGD
 -------------------------------
 
 .. py:class:: paddle.optimizer.ASGD(learning_rate=0.001, batch_num=1, parameters=None, weight_decay=None, grad_clip=None, multi_precision=False, name=None)
-    
-ASGD算法的优化器。有关详细信息，请参阅：
+
+ASGD 算法的优化器。有关详细信息，请参阅：
 
 `Minimizing Finite Sums with the Stochastic Average Gradient <https://hal.science/hal-00860051v2>`_ 。
 

docs/api/paddle/optimizer/Rprop_cn.rst

@@ -5,11 +5,11 @@ Rprop
 
 .. py:class:: paddle.optimizer.Rprop(learning_rate=0.001, learning_rate_range=(1e-5, 50), parameters=None, etas=(0.5, 1.2), grad_clip=None, name=None)
 
-    
+
 .. note::
     此优化器仅适用于 full-batch 训练。
 
-Rprop算法的优化器。有关详细信息，请参阅：
+Rprop 算法的优化器。有关详细信息，请参阅：
 
 `A direct adaptive method for faster backpropagation learning : The RPROP algorithm <https://ieeexplore.ieee.org/document/298623>`_ 。
 

docs/api/paddle/utils/try_import_cn.rst

@@ -15,4 +15,3 @@ try_import
 返回
 :::::::::
 如果成功导入，返回对应模块的对象；如果失败，则抛出 ImportError。
-

docs/api_guides/low_level/optimizer.rst

@@ -107,4 +107,4 @@ API Reference 请参考 :ref:`cn_api_fluid_optimizer_Rprop`
 
 :code:`ASGD` 优化器，是 `SGD` 以空间换时间的策略版本,是一种轨迹平均的随机优化方法。 `ASGD` 在 `SGD` 的基础上，增加了历史参数的平均值度量，让下降方向噪音的方差呈递减趋势下降，从而使得算法最终会以线性速度收敛于最优值。
 
-API Reference 请参考 :ref:`cn_api_fluid_optimizer_ASGD`
+API Reference 请参考 :ref:`cn_api_fluid_optimizer_ASGD`

docs/api_guides/low_level/optimizer_en.rst

@@ -106,4 +106,4 @@ API Reference: :ref:`api_fluid_optimizer_Rprop`
 
 :code:`ASGD` Optimizer, it is a strategy version of SGD that trades space for time, and is a stochastic optimization method with trajectory averaging. On the basis of SGD, ASGD adds a measure of the average value of historical parameters, making the variance of noise in the descending direction decrease in a decreasing trend, so that the algorithm will eventually converge to the optimal value at a linear speed.
 
-API Reference: :ref:`api_fluid_optimizer_ASGD`
+API Reference: :ref:`api_fluid_optimizer_ASGD`

docs/guides/10_contribution/hackathon_cn.md

@@ -176,8 +176,8 @@ RFC 通过并合入后形成 Tracking Issue。原则上完成 RFC 的开发者
 > [!NOTE]
 >
 > 1. 优秀 RFC 案例：
->    - [将 xdoctest 引入到飞桨框架工作流中](https://github.com/PaddlePaddle/community/blob/master/rfcs/Docs/将%20xdoctest%20引入到飞桨框架工作流中.md)
->    - [为 Paddle 框架 API 添加类型提示](https://github.com/PaddlePaddle/community/blob/master/rfcs/CodeStyle/【Hackathon%206th】为%20Paddle%20框架%20API%20添加类型提示.md)
+>    - [将 xdoctest 引入到飞桨框架工作流中](https://github.com/PaddlePaddle/community/blob/master/rfcs/Docs/将%20xdoctest%20引入到飞桨框架工作流中.md)  <!-- dochooks: skip-line -->
+>    - [为 Paddle 框架 API 添加类型提示](https://github.com/PaddlePaddle/community/blob/master/rfcs/CodeStyle/【Hackathon%206th】为%20Paddle%20框架%20API%20添加类型提示.md)  <!-- dochooks: skip-line -->
 > 2. 优秀 Tracking Issue 案例：
 >    - [将 xdoctest 引入到飞桨框架工作流中 Tracking Issue](https://github.com/PaddlePaddle/Paddle/issues/54705)
 >    - [为公开 API 标注类型提示信息 Tracking Issue](https://github.com/PaddlePaddle/Paddle/issues/65008)

docs/guides/model_convert/convert_from_pytorch/api_difference/optimizer/torch.optim.ASGD.md

@@ -4,13 +4,13 @@
 
 ```python
 torch.optim.ASGD(params,
-                lr=0.01, 
-                lambd=0.0001, 
-                alpha=0.75, 
-                t0=1000000.0, 
-                weight_decay=0, 
-                foreach=None, 
-                maximize=False, 
+                lr=0.01,
+                lambd=0.0001,
+                alpha=0.75,
+                t0=1000000.0,
+                weight_decay=0,
+                foreach=None,
+                maximize=False,
                 differentiable=False)
 ```