PipelineEndpoint List is not retrieving all pipeline endpoints

When i execute the `PipelineEndpoint.list(ws)` method, from class [PublishedPipeline](https://learn.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.publishedpipeline?view=azure-ml-py), the API retrieves just the first 100 endpoints and not the full list, despite the documentation states that it sould retrieve **all** the pipelines.
In particular, I cite the documentation:

_Get all published pipelines in the current workspace_

I'm running Python 3.8 and my package version is: azureml-pipeline-core==1.52.0

Is there any hidden parameter that i should specify to get the further 100 pipelines or it is a bug? Despite the reason, is there any way I can retrieve all the pipelines?

Thank you
Stefano

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* ID: 51bf1534-0004-72a7-6e9e-cbb855c748e0
* Version Independent ID: b9d3cc69-fd39-d477-d8b3-4372e500ffa6
* Content: [azureml.pipeline.core.PublishedPipeline class - Azure Machine Learning Python](https://learn.microsoft.com/it-it/python/api/azureml-pipeline-core/azureml.pipeline.core.publishedpipeline?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PublishedPipeline.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-pipeline-core/azureml.pipeline.core.PublishedPipeline.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

從 PublishedPipeline 文件中的進入點 PipelineEndpoint.list(ws) 以及連結的 PublishedPipeline.yml 原始碼開始。使用 azureml-pipeline-core==1.52.0 和超過 100 個已發佈端點重現此行為，然後將結果與文件所述的 “all” 行為進行比較。完成的條件是取得完整清單，或修正文檔中所述的限制和用法。

由索引模型根據 Issue 內容生成。