Question: According to github, when was Regression added to the oldest closed numpy.polynomial issue that has the Regression label in MM/DD/YY?

Assistant
ComputerTerminal
FileSurfer
Orchestrator (-> Assistant)
Orchestrator (-> ComputerTerminal)
Orchestrator (-> FileSurfer)
Orchestrator (-> WebSurfer)
Orchestrator (termination condition)
Orchestrator (thought)
WebSurfer

[{"content": "According to github, when was Regression added to the oldest closed numpy.polynomial issue that has the Regression label in MM/DD/YY?\n", "role": "human"}, {"content": "Initial plan:\n\nWe are working to address the following user request:\n\nAccording to github, when was Regression added to the oldest closed numpy.polynomial issue that has the Regression label in MM/DD/YY?\n\n\nTo answer this request we have assembled the following team:\n\nAssistant: A helpful and general-purpose AI assistant that has strong language skills, Python skills, and Linux command line skills.\nComputerTerminal: A computer terminal that performs no other action than running Python scripts (provided to it quoted in ```python code blocks), or sh shell scripts (provided to it quoted in ```sh code blocks)\nFileSurfer: An agent that can handle local files.\nWebSurfer: A helpful assistant with access to a web browser. Ask them to perform web searches, open pages, and interact with content (e.g., clicking links, scrolling the viewport, etc., filling in form fields, etc.) It can also summarize the entire page, or answer questions based on the content of the page. It can also be asked to sleep and wait for pages to load, in cases where the pages seem to be taking a while to load.\n\n\n\nHere is an initial fact sheet to consider:\n\n1. GIVEN OR VERIFIED FACTS\n- The request involves finding the date when the Regression label was added to an issue in the numpy.polynomial GitHub repository.\n\n2. FACTS TO LOOK UP\n- The GitHub repository for NumPy, particularly the numpy.polynomial section.\n- The list of issues in the numpy.polynomial section that have the 'Regression' label.\n- The date when the 'Regression' label was added to the oldest closed issue with this label.\n\n3. FACTS TO DERIVE\n- Determine the oldest closed issue in the numpy.polynomial section with the 'Regression' label by looking at the dates of various issues.\n- Determine the specific MM/DD/YY date when the Regression label was applied to this issue.\n\n4. EDUCATED GUESSES\n- The Regression label was added at some point after the creation of the numpy.polynomial GitHub issues section. The exact date will need to be found by searching through the issues listed under this label.\n\n\nHere is the plan to follow as best as possible:\n\nHere is the plan to address the original request:\n\n1. **Access the GitHub Page**:\n    - WebSurfer should navigate to the NumPy GitHub repository, specifically to the \"Issues\" section.\n\n2. **Search for Issues with 'Regression' Label**:\n    - WebSurfer should filter the issues by the 'Regression' label and sort by oldest to see the closed issues.\n\n3. **Identify the Oldest Closed Issue**:\n    - WebSurfer should identify the oldest closed issue that has the 'Regression' label.\n\n4. **Find the Date the Label was Added**:\n    - WebSurfer should check the issue details and comment log to find the date when the 'Regression' label was added to this issue.\n\n5. **Note the Date in MM/DD/YY Format**:\n    - WebSurfer should provide the discovered date in the requested MM/DD/YY format.\n\n**Involved Agent**: WebSurfer\n**Reason**: This task primarily involves navigating through the GitHub interface, searching and sorting issues, and checking time-stamped comments or logs, which can be efficiently handled by WebSurfer. \n\nOnce the WebSurfer has these details, we can conclude the task efficiently.\n\n/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py:216: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  ledger_response = await self._model_client.create(", "role": "Orchestrator (thought)"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not yet satisfied because we have not found the date when the Regression label was added to the oldest closed numpy.polynomial issue.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not in a loop, as this is an initial plan to proceed with the request.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are making forward progress by outlining the steps needed to fulfill the user's request.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"To proceed with the next step, which involves navigating the GitHub repository and filtering issues to find the required information.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need to locate the required GitHub issues and details about the Regression label.\",\n    \"answer\": \"Please navigate to the NumPy GitHub repository, go to the Issues section, filter the issues by the 'Regression' label, and find the oldest closed issue. Check the issue details and comment log to identify the date when the 'Regression' label was added. Provide this date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please navigate to the NumPy GitHub repository, go to the Issues section, filter the issues by the 'Regression' label, and find the oldest closed issue. Check the issue details and comment log to identify the date when the 'Regression' label was added. Provide this date in MM/DD/YY format.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "I typed 'NumPy GitHub' into '0 characters out of 2000'.\n\nHere is a screenshot of [NumPy GitHub - Search](https://www.bing.com/search?q=NumPy+GitHub&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=0C45EBEE0C754ABCBCE31817CDB221DA&ghsh=0&ghacc=0&ghpl=). The viewport shows 18% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"meta_tags\": {\n        \"referrer\": \"origin-when-cross-origin\",\n        \"SystemEntropyOriginTrialToken\": \"A1L3tx5CzccqjN3lK6st/fXMwhf9EeokCPf8XCt0DVI8JPbg37BWq0zKvlqgkdm8YEUbthoGkC/xdR1+iIz4txAAAABxeyJvcmlnaW4iOiJodHRwczovL3d3dy5iaW5nLmNvbTo0NDMiLCJmZWF0dXJlIjoiTXNVc2VyQWdlbnRMYXVuY2hOYXZUeXBlIiwiZXhwaXJ5IjoxNzM5NzI0MzExLCJpc1N1YmRvbWFpbiI6dHJ1ZX0=\",\n        \"og:description\": \"Intelligent search from Bing makes it easier to quickly find what you\\u2019re looking for and rewards you.\",\n        \"og:site_name\": \"Bing\",\n        \"og:title\": \"NumPy GitHub - Bing\",\n        \"og:url\": \"https://www.bing.com/search?q=NumPy+GitHub&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=0C45EBEE0C754ABCBCE31817CDB221DA&ghsh=0&ghacc=0&ghpl=\",\n        \"fb:app_id\": \"3732605936979161\",\n        \"og:image\": \"http://www.bing.com/sa/simg/facebook_sharing_5.png\",\n        \"og:type\": \"website\",\n        \"og:image:width\": \"600\",\n        \"og:image:height\": \"315\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nSure, here's the transcription of all visible text on the page:\n\n---\n\nMicrosoft Bing\n\n[Search Bar]: NumPy GitHub\n\nSEARCH COPILOT VIDEOS IMAGES MAPS NEWS MORE TOOLS\n\nNumPy Python library\n\nGithub Download Features Documentation\n\nTable of Contents\n- Code of Conduct\n- Call for Contributi...\n\nGithub\nhttps://github.com › numpy › numpy\nGitHub - numpy/numpy: The fundamental...\n\nNumPy is the fundamental package for scientific computing with Python.\n• Website: https://www.numpy.org\n• Documentation: https://numpy.org/doc...\nSee more\n\n58:10\nLearn NumPy\nPython NumPy Tutorial for Beginners\nYouTube - freeCodeCamp.org • 1.7M views • Aug 7, 2019\n\nnumpy/numpy\nThe fundamental package for scientific computing with Python.\n\n- 2k Contributors\n- 2m Used by\n- 26k Stars\n- 9k Forks\n\nReleases • numpy/numpy - GitHub\nNumPy now supports DLPack v1, support for older versions will be deprecated in the future. numpy.asanyarray now supports copy and device arguments, matching nump...\nGitHub • https://github.com/numpy/numpy/relea...\n\nCode of Conduct\nNumPy is a community-driven open source project developed by a diverse group of ...\nSee more\nGitHub\n\nCall for Contributions\nThe NumPy project welcomes your expertise and enthusiasm! Small improvements or fixes are always appreciated. If you are considering larger contribution... \nSee more\nGitHub\n\nNumPy - GitHub\nAuto-generated NumPy website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual s...\nGitHub\n\nGitHub\nhttps://github.com/numpy/numpy\nnumpy\nThe fundamental package for scientific computing with Python.\n• 600 Watched\n• 28.4k Starred\n• 10.3k Forks\n\nPrimary language: Python Latest Release: 2.2.1 (DEC 21, 2024) (11 days ago) License: Other\npython numpy\n\nNumPy\nPython library\nNumPy\nNumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate o...\nFeedback\n\n---\n\nThis includes all main content and UI labels visible in the provided image.\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not satisfied yet as we haven't retrieved the specific date when Regression was added to the oldest closed numpy.polynomial issue with the Regression label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not in a loop. The initial attempts were to locate the NumPy GitHub repository.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have successfully located the NumPy GitHub repository. Next, we need to filter issues with the Regression label.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to take the next action to filter the issues and identify the oldest closed issue under the Regression label.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"The action needed is to filter the issues by the Regression label and find the oldest closed issue, then check when the label was added to this issue.\",\n    \"answer\": \"Please navigate to the NumPy GitHub repository, go to the Issues section, filter the issues by the 'Regression' label, and find the oldest closed issue. Check the issue details and comment log to identify the date when the 'Regression' label was added. Provide this date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please navigate to the NumPy GitHub repository, go to the Issues section, filter the issues by the 'Regression' label, and find the oldest closed issue. Check the issue details and comment log to identify the date when the 'Regression' label was added. Provide this date in MM/DD/YY format.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'GitHub - numpy/numpy: The fundamental package for scientific …'.\n\nHere is a screenshot of [NumPy GitHub - Search](https://www.bing.com/search?q=NumPy+GitHub&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=0C45EBEE0C754ABCBCE31817CDB221DA&ghsh=0&ghacc=0&ghpl=). The viewport shows 18% of the webpage, and is positioned at the top of the page.\nAutomatic OCR of the page screenshot has detected the following text:\n\nMicrosoft Bing\n\nSEARCH\n\nCOPILOT\n\nVIDEOS\n\nIMAGES\n\nMAPS\n\nNEWS\n\nMORE\n\nTOOLS\n\nSIGN IN\n\nNUMPY GITHUB\n\nTable of Contents\n\nCode of Conduct\n\nCall for Contributi...\n\nNumPy\nPython library\n\nGithub\nDownload\nFeatures\nDocumentation\n\nGitHub\nhttps://github.com › numpy › numpy\nGitHub - numpy/numpy: The fundamental...\nNumPy is the fundamental package for scientific computing with Python.\n• Website: https://www.numpy.org\n• Documentation: https://numpy.org/doc...\nSee more\n\nPython NumPy Tutorial for Beginners\nYouTube · freeCodeCamp.org · 1.7M views · Aug 7, 2019\n\nnumpy/numpy\nThe fundamental package for scientific computing with Python.\n4. 2k Contributors\n2m Used by\n26k Stars\n9k Forks\n\nReleases · numpy/numpy - GitHub\nNumPy now supports DLPack v1, support for older versions will be deprecated in the future. numpy.asarrayarray now supports copy and device arguments, matching nump...\nGitHub · https://github.com/numpy/numpy/relea...\n\nCode of Conduct\nNumPy is a community-driven open source project developed by a diverse group of ...\nSee more\nGitHub\n\nCall for Contributions\nThe NumPy project welcomes your expertise and enthusiasm!\nSmall improvements or fixes are always appreciated. If you are considering larger contribution...\nSee more\nGitHub\n\nNumPy - GitHub\nAuto-generated NumPy website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual s...\nGitHub\n\nGitHub\nhttps://github.com/numpy/numpy\nnumpy\nThe fundamental package for scientific computing with Python.\n600 Watched\n28.4k Starred\n10.3k Forks\npython numpy\nPrimary language: Python\nLatest Release: 2.2.1 (DEC 21, 2024) (11 days ago) License:\nNumPy\nPython library\n\nNumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate o...\nFeedback\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The original request for the date in MM/DD/YY format when the 'Regression' label was added to the oldest closed numpy.polynomial issue with that label has not yet been answered.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have attempted multiple navigation steps to reach the NumPy GitHub repository but have not yet reached the specific issues section.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"Recent actions have focused on navigating to the NumPy GitHub page, but we are not yet at the point of looking at issues. Progress is slow and getting stuck in navigation steps.\",\n    \"answer\": false\n  },\n  \"next_speaker\": {\n    \"reason\": \"The WebSurfer is best suited to navigate GitHub repositories and find specific information. We need to provide a direct link to the NumPy GitHub repository to streamline the process and avoid search engine indirections.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need to streamline the navigation process to find the relevant issue quickly.\",\n    \"answer\": \"Please navigate directly to the NumPy GitHub repository at https://github.com/numpy/numpy. Once there, go to the 'Issues' section, filter by the 'Regression' label, find the oldest closed issue with this label, and identify the date when the 'Regression' label was added. Provide this date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please navigate directly to the NumPy GitHub repository at https://github.com/numpy/numpy. Once there, go to the 'Issues' section, filter by the 'Regression' label, find the oldest closed issue with this label, and identify the date when the 'Regression' label was added. Provide this date in MM/DD/YY format.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'GitHub - numpy/numpy: The fundamental package for scientific …'.\n\nHere is a screenshot of [NumPy GitHub - Search](https://www.bing.com/search?q=NumPy+GitHub&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=0C45EBEE0C754ABCBCE31817CDB221DA&ghsh=0&ghacc=0&ghpl=). The viewport shows 18% of the webpage, and is positioned at the top of the page.\nAutomatic OCR of the page screenshot has detected the following text:\n\nSure, here is the transcribed text from the image:\n\n---\n\n```\nMicrosoft Bing\n\nNumPy GitHub\n\nDeep search\n\nSign in 3 \n\nSEARCH COPILOT VIDEOS IMAGES MAPS NEWS MORE TOOLS\n\nNumPy\nPython library\nGitHub Download Features Documentation\n\nTable of Contents\n- Code of Conduct\n- Call for Contributi...\n\nGitHub\nhttps://github.com › numpy › numpy\nGitHub - numpy/numpy: The fundamental...\nNumPy is the fundamental package for scientific computing with Python.\n• Website: https://www.numpy.org\n• Documentation: https://numpy.org/doc... See more\n\n58:10\nLearn NumPy\nPython NumPy Tutorial for Beginners\nYouTube · freeCodeCamp.org · 1.7M views · Aug 7, 2019\n\nnumpy/numpy\nThe fundamental package for scientific computing with Python.\n• 2k Contributors\n• 2m Used by\n• 26k Stars\n• 9k Forks\n\nReleases · numpy/numpy · GitHub\nNumPy now supports DLPack v1, support for older versions will be deprecated in the future. numpy.asanyarray now supports copy and device arguments, matching nump ...\nGitHub · https://github.com/numpy/numpy/relea...\n\nCode of Conduct\nNumPy is a community-driven open source project developed by a diverse group of ...\nSee more\nGitHub\n\nCall for Contributions\nThe NumPy project welcomes your expertise and enthusiasm! Small improvements or fixes are always appreciated. If you are considering larger contribution...\nSee more\nGitHub\n\nNumPy - GitHub\nAuto-generated NumPy website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual s...\nGitHub\n\nGitHub\nhttps://github.com/numpy/numpy\nnumpy\nThe fundamental package for scientific computing with Python.\n600 Watched\n28.4k Starred\n10.3k Forks\npython numpy\n\nPrimary language: Python\nLatest Release: 2.2.1 (DEC 21, 2024) (11 days ago) License: ...\n\nNumPy\nPython library\nNumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate o...\n\nFeedback\n```\n\n---\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The relevant information regarding the oldest closed numpy.polynomial issue with the Regression label has not been found yet.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"Attempts to access the necessary GitHub repository and issues section have not advanced beyond search results, repeating navigation steps.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"The user is repeatedly encountering search results without landing on the necessary GitHub page to find the specific issue and label information.\",\n    \"answer\": false\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to properly navigate to the GitHub repository page to start the investigation on issues.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To find the oldest closed issue with the 'Regression' label in the numpy.polynomial section.\",\n    \"answer\": \"Please navigate directly to the NumPy GitHub repository at https://github.com/numpy/numpy and then go to the Issues section by clicking on the 'Issues' tab. Once there, apply a filter for issues labeled 'Regression', identify the oldest closed issue with this label, and check the issue details to find the date when the 'Regression' label was added. Provide the date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please navigate directly to the NumPy GitHub repository at https://github.com/numpy/numpy and then go to the Issues section by clicking on the 'Issues' tab. Once there, apply a filter for issues labeled 'Regression', identify the oldest closed issue with this label, and check the issue details to find the date when the 'Regression' label was added. Provide the date in MM/DD/YY format.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'GitHub\nhttps://github.com/numpy/numpy'.\n\nHere is a screenshot of [GitHub - numpy/numpy: The fundamental package for scientific computing with Python.](https://github.com/numpy/numpy). The viewport shows 23% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"microdata\": [\n        {\n            \"itemType\": \"http://schema.org/SoftwareSourceCode\",\n            \"author\": \"numpy\",\n            \"name\": \"numpy\",\n            \"text\": \"NumPy is the fundamental package for scientific computing with Python.  Website: https://www.numpy.org Documentation: https://numpy.org/doc Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion Source code: https://github.com/numpy/numpy Contributing: https://www.numpy.org/devdocs/dev/index.html Bug reports: https://github.com/numpy/numpy/issues Report a security vulnerability: https://tidelift.com/docs/security  It provides:  a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities  Testing: NumPy requires pytest and hypothesis.  Tests can then be run after installation with: python -c \\\"import numpy, sys; sys.exit(numpy.test() is False)\\\"                                         Code of Conduct NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive. Call for Contributions The NumPy project welcomes your expertise and enthusiasm! Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the mailing list first. Writing code isn\\u2019t the only way to contribute to NumPy. You can also:  review pull requests help us stay on top of new and old issues develop tutorials, presentations, and other educational materials maintain and improve our website develop graphic design for our brand assets and promotional materials translate website content help with outreach and onboard new contributors write grant proposals and help with other fundraising efforts  For more information about the ways you can contribute to NumPy, visit our website. If you\\u2019re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open. Our preferred channels of communication are all public, but if you\\u2019d like to speak to us in private first, contact our community coordinators at numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for an invitation). We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join. If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.\",\n            \"keywords\": \"\"\n        },\n        {\n            \"itemType\": \"https://schema.org/abstract\"\n        }\n    ],\n    \"meta_tags\": {\n        \"route-pattern\": \"/:user_id/:repository\",\n        \"route-controller\": \"files\",\n        \"route-action\": \"disambiguate\",\n        \"current-catalog-service-hash\": \"f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb\",\n        \"request-id\": \"E171:FA573:405053D:50CAA42:677684D6\",\n        \"html-safe-nonce\": \"734b63ac557b1f75e21fd3f0ef8bc773f93f6c077ce667c50048f149907b81f3\",\n        \"visitor-payload\": \"eyJyZWZlcnJlciI6Imh0dHBzOi8vd3d3LmJpbmcuY29tLyIsInJlcXVlc3RfaWQiOiJFMTcxOkZBNTczOjQwNTA1M0Q6NTBDQUE0Mjo2Nzc2ODRENiIsInZpc2l0b3JfaWQiOiIyOTA1MjMyMTQ5ODA5ODkwNTE4IiwicmVnaW9uX2VkZ2UiOiJqYXBhbmVhc3QiLCJyZWdpb25fcmVuZGVyIjoiamFwYW5lYXN0In0=\",\n        \"visitor-hmac\": \"96203c4e595c7180653a8beeeaa52a2ed1f9937c5109f606aa886c779cb19f80\",\n        \"hovercard-subject-tag\": \"repository:908607\",\n        \"github-keyboard-shortcuts\": \"repository,copilot\",\n        \"google-site-verification\": \"Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I\",\n        \"octolytics-url\": \"https://collector.github.com/github/collect\",\n        \"analytics-location\": \"/<user-name>/<repo-name>\",\n        \"user-login\": \"\",\n        \"viewport\": \"width=device-width\",\n        \"description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"fb:app_id\": \"1401488693436528\",\n        \"apple-itunes-app\": \"app-id=1477376905, app-argument=https://github.com/numpy/numpy\",\n        \"twitter:image\": \"https://opengraph.githubassets.com/007e7bb30706d40e724f523ce45b124810f1352922ea69cfab730423bd463a54/numpy/numpy\",\n        \"twitter:site\": \"@github\",\n        \"twitter:card\": \"summary_large_image\",\n        \"twitter:title\": \"GitHub - numpy/numpy: The fundamental package for scientific computing with Python.\",\n        \"twitter:description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"og:image\": \"https://opengraph.githubassets.com/007e7bb30706d40e724f523ce45b124810f1352922ea69cfab730423bd463a54/numpy/numpy\",\n        \"og:image:alt\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"og:image:width\": \"1200\",\n        \"og:image:height\": \"600\",\n        \"og:site_name\": \"GitHub\",\n        \"og:type\": \"object\",\n        \"og:title\": \"GitHub - numpy/numpy: The fundamental package for scientific computing with Python.\",\n        \"og:url\": \"https://github.com/numpy/numpy\",\n        \"og:description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"hostname\": \"github.com\",\n        \"expected-hostname\": \"github.com\",\n        \"turbo-cache-control\": \"no-preview\",\n        \"go-import\": \"github.com/numpy/numpy git https://github.com/numpy/numpy.git\",\n        \"octolytics-dimension-user_id\": \"288276\",\n        \"octolytics-dimension-user_login\": \"numpy\",\n        \"octolytics-dimension-repository_id\": \"908607\",\n        \"octolytics-dimension-repository_nwo\": \"numpy/numpy\",\n        \"octolytics-dimension-repository_public\": \"true\",\n        \"octolytics-dimension-repository_is_fork\": \"false\",\n        \"octolytics-dimension-repository_network_root_id\": \"908607\",\n        \"octolytics-dimension-repository_network_root_nwo\": \"numpy/numpy\",\n        \"turbo-body-classes\": \"logged-out env-production page-responsive\",\n        \"browser-stats-url\": \"https://api.github.com/_private/browser/stats\",\n        \"browser-errors-url\": \"https://api.github.com/_private/browser/errors\",\n        \"theme-color\": \"#1e2327\",\n        \"color-scheme\": \"light dark\",\n        \"msapplication-TileImage\": \"/windows-tile.png\",\n        \"msapplication-TileColor\": \"#ffffff\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\n**Main Content:**\n\n- Product\n- Solutions\n- Resources\n- Open Source\n- Enterprise\n- Pricing\n- Sponsor\n- Notifications\n- Fork 10.3k\n- Star 28.4k\n- numpy / numpy Public\n- Code\n- Issues 2k\n- Pull requests 191\n- Actions\n- Projects 3\n- Wiki\n- Security\n- Insights\n- main\n- 31 Branches\n- 252 Tags\n- charris Merge pull request #28073 from hauntsaninja/numpy-test\n- CI: update circleci to python3.11.10, limit parallel builds. (#2... dfb0005 · 3 days ago 37,788 Commits\n- .circleci CI: update circleci to python3.11.10, limit parallel builds. (#2... 2 months ago\n- .devcontainer MAINT: Fix codespaces setup.sh script 2 years ago\n- .github split string 4 days ago\n- .spin MAINT: Update spin lint command last week\n- benchmarks MAINT: Apply ruff flake8-comprehensions rules (C4) (#27975) 2 weeks ago\n- branding/logo DOC: correct Logo SVG files rendered in dark by Figma (#2... 2 years ago\n- doc update NEP 29 last week\n- meson_cpu Loongarch: modify lsx optimization (25215PR) for newest br... 2 weeks ago\n- numpy MAINT: Replace usage of fixed strides with inner strides in... 3 days ago\n- requirements DOC: update to scipy-doctest 1.6.1 and fix tests [skip azp][s... 2 weeks ago\n- tools Merge pull request #28058 from mtsokol/spin-lint-fix last week\n- vendored-meson BLD: update vendored Meson to include a fix for AIX 3 months ago\n- .cirrus.star CI: cirrus run linux_aarch64 first (#24435) 2 years ago\n- .clang-format MAINT: Standardize guards in numpy/core/src/multiarray. 4 years ago\n\n---\n\n**UI Elements:**\n\n- Go to file\n- Code\n\n---\n\n**About Section:**\n\n- About\n- The fundamental package for scientific computing with Python.\n- numpy.org\n- python\n- numpy\n- Readme\n- View license\n- Code of conduct\n- Security policy\n- Cite this repository\n- Activity\n- Custom properties\n- 28.4k stars\n- 600 watching\n- 10.3k forks\n- Report repository\n\n---\n\n**Releases Section:**\n\n- Releases 123\n- 2.2.1 (DEC 21, 2024) Latest 2 weeks ago\n- + 122 releases\n- Sponsor this project\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not yet satisfied because we have not yet navigated to the Issues section, filtered by the Regression label, found the oldest closed issue, and determined the date when the Regression label was added.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"There is evidence of being stuck in a loop because the steps to reach the issues section are being performed repeatedly without arriving at the needed page.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"Progress is not being made as the recent messages indicate that we are stuck in accessing the correct section of the repository.\",\n    \"answer\": false\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer is required to navigate to the issues section and perform the required filter and sort operations.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need WebSurfer to navigate directly to the Issues section of the NumPy GitHub repository, filter the issues by the Regression label, and sort them to find the oldest closed issue.\",\n    \"answer\": \"Please navigate directly to the NumPy GitHub repository (https://github.com/numpy/numpy), go to the Issues section by clicking on the 'Issues' tab, and apply a filter for issues labeled 'Regression'. Once done, identify the oldest closed issue with this label and check the issue details to find the date when the 'Regression' label was added. Provide the date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please navigate directly to the NumPy GitHub repository (https://github.com/numpy/numpy), go to the Issues section by clicking on the 'Issues' tab, and apply a filter for issues labeled 'Regression'. Once done, identify the oldest closed issue with this label and check the issue details to find the date when the 'Regression' label was added. Provide the date in MM/DD/YY format.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'Issues\n2k'.\n\nHere is a screenshot of [Issues · numpy/numpy · GitHub](https://github.com/numpy/numpy/issues). The viewport shows 39% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"microdata\": [\n        {\n            \"itemType\": \"http://schema.org/SoftwareSourceCode\",\n            \"author\": \"numpy\",\n            \"name\": \"numpy\"\n        }\n    ],\n    \"meta_tags\": {\n        \"current-catalog-service-hash\": \"f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb\",\n        \"request-id\": \"E171:FA573:405053D:50CAA42:677684D6\",\n        \"html-safe-nonce\": \"734b63ac557b1f75e21fd3f0ef8bc773f93f6c077ce667c50048f149907b81f3\",\n        \"visitor-payload\": \"eyJyZWZlcnJlciI6Imh0dHBzOi8vd3d3LmJpbmcuY29tLyIsInJlcXVlc3RfaWQiOiJFMTcxOkZBNTczOjQwNTA1M0Q6NTBDQUE0Mjo2Nzc2ODRENiIsInZpc2l0b3JfaWQiOiIyOTA1MjMyMTQ5ODA5ODkwNTE4IiwicmVnaW9uX2VkZ2UiOiJqYXBhbmVhc3QiLCJyZWdpb25fcmVuZGVyIjoiamFwYW5lYXN0In0=\",\n        \"visitor-hmac\": \"96203c4e595c7180653a8beeeaa52a2ed1f9937c5109f606aa886c779cb19f80\",\n        \"google-site-verification\": \"Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I\",\n        \"octolytics-url\": \"https://collector.github.com/github/collect\",\n        \"user-login\": \"\",\n        \"viewport\": \"width=device-width\",\n        \"description\": \"The fundamental package for scientific computing with Python. - 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numpy/numpy: The fundamental package for scientific computing with Python.\",\n        \"og:url\": \"https://github.com/numpy/numpy\",\n        \"og:description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"hostname\": \"github.com\",\n        \"expected-hostname\": \"github.com\",\n        \"go-import\": \"github.com/numpy/numpy git https://github.com/numpy/numpy.git\",\n        \"octolytics-dimension-user_id\": \"288276\",\n        \"octolytics-dimension-user_login\": \"numpy\",\n        \"octolytics-dimension-repository_id\": \"908607\",\n        \"octolytics-dimension-repository_nwo\": \"numpy/numpy\",\n        \"octolytics-dimension-repository_public\": \"true\",\n        \"octolytics-dimension-repository_is_fork\": \"false\",\n        \"octolytics-dimension-repository_network_root_id\": \"908607\",\n        \"octolytics-dimension-repository_network_root_nwo\": \"numpy/numpy\",\n        \"turbo-body-classes\": \"logged-out env-production page-responsive\",\n        \"browser-stats-url\": \"https://api.github.com/_private/browser/stats\",\n        \"browser-errors-url\": \"https://api.github.com/_private/browser/errors\",\n        \"theme-color\": \"#1e2327\",\n        \"color-scheme\": \"light dark\",\n        \"msapplication-TileImage\": \"/windows-tile.png\",\n        \"msapplication-TileColor\": \"#ffffff\",\n        \"route-pattern\": \"/:user_id/:repository/issues(.:format)\",\n        \"route-controller\": \"issues\",\n        \"route-action\": \"index\",\n        \"analytics-location-query-strip\": \"true\",\n        \"analytics-location\": \"/<user-name>/<repo-name>/issues/index\",\n        \"github-keyboard-shortcuts\": \"repository,issues,copilot\",\n        \"hovercard-subject-tag\": \"repository:908607\",\n        \"turbo-cache-control\": \"no-preview\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nProduct\nSolutions\nResources\nOpen Source\nEnterprise\nPricing\n\nSearch or jump to…\nSign in\nSign up\n\nSponsor\n\nNotifications\nFork 10.3k\nStar 28.4k\n\nnumpy/numpy Public\nCode\nIssues 2k\nPull requests 191\nActions\nProjects 3\nWiki\nSecurity\nInsights\n\nEcosystem compatibility with numpy 2.0\n#26191 opened on Apr 1, 2024 by rgommers\nOpen 139\n\nis:issue is:open\n\nLabels 93\nMilestones 3\nNew issue\n\n1,995 Open\n11,013 Closed\n\nAuthor \nLabel \nProjects \nMilestones \nAssignee \nSort \n\nENH: ndarray.__dlpack__ has no signature 01 - Enhancement 40 - array API standard\n#28085 opened 14 hours ago by lucascolley\n3\n\nENH: Efficient vectorized sampling without replacement 01 - Enhancement component: numpy.random\n#28084 opened 14 hours ago by Mark799\n1\n\nValues from numpy 2 arrays are sometimes printed with unexpected type prefixes in dictionaries 00 - Bug 57 - Close?\n#28082 opened 19 hours ago by jbrumf\n1\n\nDOC: Add information (maybe just release note) for typing regressions 04 - Documentation Static typing\n#28077 opened 3 days ago by seberg\n4\n\nOverview issue: Typing regressions in NumPy 2.2 Static typing\n#28076 opened 3 days ago by seberg\n3\n\nBUG: dtype(\"c\") > dtype(\"S\") and dtype(\"c\") < dtype(\"S\") is True 00 - Bug\n#28072 opened last week by jorrenham\n5\n\nTYP: inconsistent static typing of float64 addition 00 - Bug Static typing\n#28071 opened last week by tryalla typ: 2.2.2 release\n2\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not yet fully satisfied because we haven't found the date when the Regression label was added to the oldest closed numpy.polynomial issue with this label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"There is a risk of starting a loop as we are navigating through similar steps repeatedly to find the required details.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are making some forward progress, as WebSurfer has reached the NumPy GitHub Issues page.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to continue with the next steps to filter issues by the 'Regression' label.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Filtering by the 'Regression' label is the next logical step to find the relevant issue and the date when the label was added.\",\n    \"answer\": \"Please filter the issues by the 'Regression' label and then identify the oldest closed issue with this label. Check the issue details to find the date when the 'Regression' label was added. Provide the date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Stalled.... Replanning...\n/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py:184: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  response = await self._model_client.create(\n/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/orchestrator.py:196: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  response = await self._model_client.create(", "role": "Orchestrator (thought)"}, {"content": "New plan:\n\nWe are working to address the following user request:\n\nAccording to github, when was Regression added to the oldest closed numpy.polynomial issue that has the Regression label in MM/DD/YY?\n\n\nTo answer this request we have assembled the following team:\n\nAssistant: A helpful and general-purpose AI assistant that has strong language skills, Python skills, and Linux command line skills.\nComputerTerminal: A computer terminal that performs no other action than running Python scripts (provided to it quoted in ```python code blocks), or sh shell scripts (provided to it quoted in ```sh code blocks)\nFileSurfer: An agent that can handle local files.\nWebSurfer: A helpful assistant with access to a web browser. Ask them to perform web searches, open pages, and interact with content (e.g., clicking links, scrolling the viewport, etc., filling in form fields, etc.) It can also summarize the entire page, or answer questions based on the content of the page. It can also be asked to sleep and wait for pages to load, in cases where the pages seem to be taking a while to load.\n\n\n\nHere is an initial fact sheet to consider:\n\nSure, here’s the updated fact sheet incorporating what we have learned so far:\n\n1. GIVEN OR VERIFIED FACTS\n- The request involves finding the date when the Regression label was added to an issue in the numpy.polynomial GitHub repository.\n- The NumPy GitHub repository is located at https://github.com/numpy/numpy.\n- The Issues section of the NumPy GitHub repository can be accessed at https://github.com/numpy/numpy/issues.\n\n2. FACTS TO LOOK UP\n- The specific issues within the numpy.polynomial submodule that have the 'Regression' label.\n- The exact date when the 'Regression' label was added to the oldest closed issue with this label in that submodule.\n\n3. FACTS TO DERIVE\n- Determine the oldest closed issue in the numpy.polynomial section with the 'Regression' label by looking at the dates of various issues.\n- Determine the specific MM/DD/YY date when the Regression label was applied to this issue.\n\n4. EDUCATED GUESSES\n- Searching for the 'Regression' label in the entire NumPy repository issues may provide the list of issues across all submodules, including numpy.polynomial.\n- Given the high number of issues (2k open and 11k closed), sorting and filtering by label 'Regression' and manually checking the oldest issues might be necessary.\n- It's likely that the Regression label's addition timestamp can be found in the issue's activity or event logs on GitHub.\n\nBy focusing on filtering label 'Regression' and identifying the oldest closed issue, we can methodically determine when the label was added.\n\n\nHere is the plan to follow as best as possible:\n\n### Root Cause of Failure:\nThe previous attempts focused on navigating to the NumPy GitHub repository and Issues section, but did not successfully filter the issues specifically by the 'Regression' label or fully navigate to find the oldest closed issue with the 'Regression' label. This resulted in repeated navigation steps without achieving the actual data extraction needed.\n\n### New Plan to Overcome Prior Challenges:\n\n1. **Navigate to GitHub Repository**:\n   - WebSurfer should open the NumPy GitHub repository at https://github.com/numpy/numpy.\n\n2. **Access the Issues Section**:\n   - WebSurfer should go directly to the Issues section by clicking on the ‘Issues’ tab.\n\n3. **Filter by Regression Label**:\n   - WebSurfer should use the label filter to search for issues labeled 'Regression' (use the label:Regression filter in the search bar).\n\n4. **Sort and Identify Oldest Closed Issue**:\n   - WebSurfer should sort the filtered issues to display the oldest closed issues first.\n   - WebSurfer should identify the oldest closed issue with the 'Regression' label.\n\n5. **Check Issue Details**:\n   - WebSurfer should open the oldest closed issue identified and check its activity or event log to find when the 'Regression' label was added to the issue.\n\n6. **Provide the Date in MM/DD/YY Format**:\n   - WebSurfer should note the exact date when the Regression label was added and provide this date in MM/DD/YY format.\n\nBy strictly following these steps to filter and sort the issues correctly, and directly checking the details of the oldest closed issue with the Regression label, we can avoid repeating the same mistakes and efficiently find the required date.", "role": "Orchestrator (thought)"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not yet satisfied because we have not yet identified the date when the Regression label was added to the oldest closed numpy.polynomial issue.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"There is no evidence that we are in a loop. We are making steady progress towards the goal.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have a clear plan and set of instructions to follow, and the plan has not been executed yet.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to execute the plan which involves navigating the NumPy GitHub repository, filtering issues by the Regression label, and identifying the oldest closed issue with this label.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"WebSurfer needs to execute the plan to find the required information on GitHub.\",\n    \"answer\": \"Navigate to the NumPy GitHub repository at https://github.com/numpy/numpy. Go to the Issues section, use the label filter to search for issues labeled 'Regression', sort by the oldest closed issues first, and identify the oldest closed issue with this label. Check the activity or event log of this issue to find when the 'Regression' label was added, and provide the date in MM/DD/YY format.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Navigate to the NumPy GitHub repository at https://github.com/numpy/numpy. Go to the Issues section, use the label filter to search for issues labeled 'Regression', sort by the oldest closed issues first, and identify the oldest closed issue with this label. Check the activity or event log of this issue to find when the 'Regression' label was added, and provide the date in MM/DD/YY format.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I typed 'NumPy GitHub' into '0 characters out of 2000'.\n\nHere is a screenshot of [NumPy GitHub - Search](https://www.bing.com/search?q=NumPy+GitHub&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=146D6BB0AAE34F15973F52374BE1A124&ghsh=0&ghacc=0&ghpl=). The viewport shows 19% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"meta_tags\": {\n        \"referrer\": \"origin-when-cross-origin\",\n        \"SystemEntropyOriginTrialToken\": \"A1L3tx5CzccqjN3lK6st/fXMwhf9EeokCPf8XCt0DVI8JPbg37BWq0zKvlqgkdm8YEUbthoGkC/xdR1+iIz4txAAAABxeyJvcmlnaW4iOiJodHRwczovL3d3dy5iaW5nLmNvbTo0NDMiLCJmZWF0dXJlIjoiTXNVc2VyQWdlbnRMYXVuY2hOYXZUeXBlIiwiZXhwaXJ5IjoxNzM5NzI0MzExLCJpc1N1YmRvbWFpbiI6dHJ1ZX0=\",\n        \"og:description\": \"Intelligent search from Bing makes it easier to quickly find what you\\u2019re looking for and rewards you.\",\n        \"og:site_name\": \"Bing\",\n        \"og:title\": \"NumPy GitHub - Bing\",\n        \"og:url\": \"https://www.bing.com/search?q=NumPy+GitHub&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=146D6BB0AAE34F15973F52374BE1A124&ghsh=0&ghacc=0&ghpl=\",\n        \"fb:app_id\": \"3732605936979161\",\n        \"og:image\": \"http://www.bing.com/sa/simg/facebook_sharing_5.png\",\n        \"og:type\": \"website\",\n        \"og:image:width\": \"600\",\n        \"og:image:height\": \"315\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nMicrosoft Bing\n\nNumPy GitHub\n\nSEARCH COPILOT VIDEOS IMAGES MAPS NEWS MORE TOOLS\n\nDeep search\n\nSign in\n\nTable of Contents\n\nCode of Conduct\n\nCall for Contributi...\n\nNumPy\nPython library\n\nGitHub Download Features Documentation\n\nGitHub\nhttps://github.com › numpy › numpy\nGitHub - numpy/numpy: The fundamental...\n\nNumPy is the fundamental package for scientific computing with Python.\n• Website: https://www.numpy.org\n• Documentation: https://numpy.org/doc... See more\n\nPython NumPy Tutorial for Beginners\n58:10\nYouTube: freeCodeCamp.org · 1.7M views · Aug 7, 2019\n\nnumpy/numpy\nThe fundamental package for scientific computing with Python.\nA: 2k Contributors 2m Used by 26k Stars 9k Forks\n\nReleases · numpy/numpy - GitHub\nNumPy now supports DLPack v1, support for older versions will be deprecated in the future. numpy.asanyarray now supports copy and device arguments, matching nump...\nGitHub · https://github.com/numpy/numpy/relea...\n\nCode of Conduct\nNumPy is a community-driven open source project developed by a diverse group of ...\nSee more\nGitHub\n\nCall for Contributions\nThe NumPy project welcomes your expertise and enthusiasm!\nSmall improvements or fixes are always appreciated. If you are considering larger contribution... See more\nGitHub\n\nNumPy - GitHub\nAuto-generated NumPy website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual s...\nGitHub\n\nGitHub\nhttps://github.com/numpy/numpy\nnumpy\nThe fundamental package for scientific computing with Python.\n600 Watched 28.4k Starred 10.3k Forks\npython numpy\n\nPrimary language: Python Latest Release: 2.2.1 (Dec 21, 2024) (11 days ago) License: Other\n\nNumPy\nPython library\nNumPy\nPython library\n\nNumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate o...\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request has not been fully satisfied yet as we have not retrieved the date when the Regression label was added to the oldest closed numpy.polynomial issue.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not in a loop, as recent steps have been consistently aimed towards navigating to the NumPy GitHub repository and filtering issues.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are making forward progress as we are now at the stage of navigating to the NumPy GitHub repository.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to proceed with the existing plan to open the NumPy GitHub repository in order to access the Issues section and filter by the Regression label.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To progress towards retrieving the required information from the NumPy GitHub repository.\",\n    \"answer\": \"Please open the link to the NumPy GitHub repository at https://github.com/numpy/numpy and navigate to the Issues section.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please open the link to the NumPy GitHub repository at https://github.com/numpy/numpy and navigate to the Issues section.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'GitHub\nhttps://github.com/numpy/numpy'.\n\nHere is a screenshot of [GitHub - numpy/numpy: The fundamental package for scientific computing with Python.](https://github.com/numpy/numpy). The viewport shows 23% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"microdata\": [\n        {\n            \"itemType\": \"http://schema.org/SoftwareSourceCode\",\n            \"author\": \"numpy\",\n            \"name\": \"numpy\",\n            \"text\": \"NumPy is the fundamental package for scientific computing with Python.  Website: https://www.numpy.org Documentation: https://numpy.org/doc Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion Source code: https://github.com/numpy/numpy Contributing: https://www.numpy.org/devdocs/dev/index.html Bug reports: https://github.com/numpy/numpy/issues Report a security vulnerability: https://tidelift.com/docs/security  It provides:  a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities  Testing: NumPy requires pytest and hypothesis.  Tests can then be run after installation with: python -c \\\"import numpy, sys; sys.exit(numpy.test() is False)\\\"                                         Code of Conduct NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive. Call for Contributions The NumPy project welcomes your expertise and enthusiasm! Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the mailing list first. Writing code isn\\u2019t the only way to contribute to NumPy. You can also:  review pull requests help us stay on top of new and old issues develop tutorials, presentations, and other educational materials maintain and improve our website develop graphic design for our brand assets and promotional materials translate website content help with outreach and onboard new contributors write grant proposals and help with other fundraising efforts  For more information about the ways you can contribute to NumPy, visit our website. If you\\u2019re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open. Our preferred channels of communication are all public, but if you\\u2019d like to speak to us in private first, contact our community coordinators at numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for an invitation). We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join. If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.\",\n            \"keywords\": \"\"\n        },\n        {\n            \"itemType\": \"https://schema.org/abstract\"\n        }\n    ],\n    \"meta_tags\": {\n        \"route-pattern\": \"/:user_id/:repository\",\n        \"route-controller\": \"files\",\n        \"route-action\": \"disambiguate\",\n        \"current-catalog-service-hash\": \"f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb\",\n        \"request-id\": \"E2A5:0A6E:2A40B8E:3688959:67768527\",\n        \"html-safe-nonce\": \"734b63ac557b1f75e21fd3f0ef8bc773f93f6c077ce667c50048f149907b81f3\",\n        \"visitor-payload\": \"eyJyZWZlcnJlciI6Imh0dHBzOi8vd3d3LmJpbmcuY29tLyIsInJlcXVlc3RfaWQiOiJFMkE1OjBBNkU6MkE0MEI4RTozNjg4OTU5OjY3NzY4NTI3IiwidmlzaXRvcl9pZCI6IjI5MDUyMzIxNDk4MDk4OTA1MTgiLCJyZWdpb25fZWRnZSI6ImphcGFuZWFzdCIsInJlZ2lvbl9yZW5kZXIiOiJqYXBhbmVhc3QifQ==\",\n        \"visitor-hmac\": \"7a13e4e5f1efedd27c06e64d09cbb8bf20f785cc67b72bb1a30b7275966030db\",\n        \"hovercard-subject-tag\": \"repository:908607\",\n        \"github-keyboard-shortcuts\": \"repository,copilot\",\n        \"google-site-verification\": \"Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I\",\n        \"octolytics-url\": \"https://collector.github.com/github/collect\",\n        \"analytics-location\": \"/<user-name>/<repo-name>\",\n        \"user-login\": \"\",\n        \"viewport\": \"width=device-width\",\n        \"description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"fb:app_id\": \"1401488693436528\",\n        \"apple-itunes-app\": \"app-id=1477376905, app-argument=https://github.com/numpy/numpy\",\n        \"twitter:image\": \"https://opengraph.githubassets.com/007e7bb30706d40e724f523ce45b124810f1352922ea69cfab730423bd463a54/numpy/numpy\",\n        \"twitter:site\": \"@github\",\n        \"twitter:card\": \"summary_large_image\",\n        \"twitter:title\": \"GitHub - numpy/numpy: The fundamental package for scientific computing with Python.\",\n        \"twitter:description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"og:image\": \"https://opengraph.githubassets.com/007e7bb30706d40e724f523ce45b124810f1352922ea69cfab730423bd463a54/numpy/numpy\",\n        \"og:image:alt\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"og:image:width\": \"1200\",\n        \"og:image:height\": \"600\",\n        \"og:site_name\": \"GitHub\",\n        \"og:type\": \"object\",\n        \"og:title\": \"GitHub - numpy/numpy: The fundamental package for scientific computing with Python.\",\n        \"og:url\": \"https://github.com/numpy/numpy\",\n        \"og:description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"hostname\": \"github.com\",\n        \"expected-hostname\": \"github.com\",\n        \"turbo-cache-control\": \"no-preview\",\n        \"go-import\": \"github.com/numpy/numpy git https://github.com/numpy/numpy.git\",\n        \"octolytics-dimension-user_id\": \"288276\",\n        \"octolytics-dimension-user_login\": \"numpy\",\n        \"octolytics-dimension-repository_id\": \"908607\",\n        \"octolytics-dimension-repository_nwo\": \"numpy/numpy\",\n        \"octolytics-dimension-repository_public\": \"true\",\n        \"octolytics-dimension-repository_is_fork\": \"false\",\n        \"octolytics-dimension-repository_network_root_id\": \"908607\",\n        \"octolytics-dimension-repository_network_root_nwo\": \"numpy/numpy\",\n        \"turbo-body-classes\": \"logged-out env-production page-responsive\",\n        \"browser-stats-url\": \"https://api.github.com/_private/browser/stats\",\n        \"browser-errors-url\": \"https://api.github.com/_private/browser/errors\",\n        \"theme-color\": \"#1e2327\",\n        \"color-scheme\": \"light dark\",\n        \"msapplication-TileImage\": \"/windows-tile.png\",\n        \"msapplication-TileColor\": \"#ffffff\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nHere's the transcription of all visible text:\n\n---\n\n**Top Menu:**\n- Product\n- Solutions\n- Resources\n- Open Source\n- Enterprise\n- Pricing\n- Sponsor\n- Notifications\n- Fork 10.3k\n- Star 28.4k\n- Sign in\n- Sign up\n\n**Main Repository Info:**\n- numpy / numpy Public\n- Code (selected)\n- Issues 2k\n- Pull requests 191\n- Actions\n- Projects 3\n- Wiki\n- Security\n- Insights\n\n**Branches and Tags:**\n- main\n- 31 Branches\n- 252 Tags\n- Go to file\n- Code\n\n**File List:**\n- charris Merge pull request #28073 from hauntsaninja/numpy-test ... (dfb0005 - 3 days ago) 37,788 Commits\n  - .circleci CI: update circleci to python3.11.10, limit parallel builds. (#2... (2 months ago)\n  - .devcontainer MAINT: Fix codespaces setup.sh script (2 years ago)\n  - .github split string (4 days ago)\n  - .spin MAINT: Update spin lint command (last week)\n  - benchmarks MAINT: Apply ruff/flake8-comprehensions rules (C4) (#27975) (2 weeks ago)\n  - branding/logo DOC: correct Logo SVG files rendered in dark by Figma (#2... (2 years ago)\n  - doc update NEP 29 (last week)\n  - meson_cpu Loongarch: modify Isx optimization(25215PR) for newest br... (2 weeks ago)\n  - numpy MAINT: Replace usage of fixed strides with inner strides in ... (3 days ago)\n  - requirements DOC: update to scipy-doctest 1.6.1 and fix tests [skip azp][s... (2 weeks ago)\n  - tools Merge pull request #28058 from mtsokol/spin-lint-fix (last week)\n  - vendored-meson BLD: update vendored Meson to include a fix for AIX (3 months ago)\n  - .cirrus.star CI: cirrus run linux_aarch64 first (#24435) (2 years ago)\n  - .clang-format MAINT: Standardize guards in numpy/core/src/multiarray. (4 years ago)\n\n**About Section:**\n- The fundamental package for scientific computing with Python.\n- numpy.org\n- python\n- numpy\n\n**Options:**\n- Readme\n- View license\n- Code of conduct\n- Security policy\n- Cite this repository\n- Activity\n- Custom properties\n- 28.4k stars\n- 600 watching\n- 10.3k forks\n- Report repository\n\n**Releases:**\n- 2.2.1 (DEC 21, 2024) Latest (2 weeks ago)\n- + 122 releases\n\n**Sponsor this project**\n\n---\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request has not been fully addressed yet as we have not located the 'Issues' section and filtered for the 'Regression' label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have not yet repeated any actions, and each step is moving us closer to the final goal.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are making forward progress by navigating to the required sections of GitHub.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"Next actions involve interacting with the GitHub page.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To proceed with locating the required information.\",\n    \"answer\": \"Click on the 'Issues' tab in the NumPy GitHub repository.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Click on the 'Issues' tab in the NumPy GitHub repository.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'Issues\n2k'.\n\nHere is a screenshot of [Issues · numpy/numpy · GitHub](https://github.com/numpy/numpy/issues). The viewport shows 39% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"microdata\": [\n        {\n            \"itemType\": \"http://schema.org/SoftwareSourceCode\",\n            \"author\": \"numpy\",\n            \"name\": \"numpy\"\n        }\n    ],\n    \"meta_tags\": {\n        \"current-catalog-service-hash\": \"f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb\",\n        \"request-id\": \"E2A5:0A6E:2A40B8E:3688959:67768527\",\n        \"html-safe-nonce\": \"734b63ac557b1f75e21fd3f0ef8bc773f93f6c077ce667c50048f149907b81f3\",\n        \"visitor-payload\": \"eyJyZWZlcnJlciI6Imh0dHBzOi8vd3d3LmJpbmcuY29tLyIsInJlcXVlc3RfaWQiOiJFMkE1OjBBNkU6MkE0MEI4RTozNjg4OTU5OjY3NzY4NTI3IiwidmlzaXRvcl9pZCI6IjI5MDUyMzIxNDk4MDk4OTA1MTgiLCJyZWdpb25fZWRnZSI6ImphcGFuZWFzdCIsInJlZ2lvbl9yZW5kZXIiOiJqYXBhbmVhc3QifQ==\",\n        \"visitor-hmac\": \"7a13e4e5f1efedd27c06e64d09cbb8bf20f785cc67b72bb1a30b7275966030db\",\n        \"google-site-verification\": \"Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I\",\n        \"octolytics-url\": \"https://collector.github.com/github/collect\",\n        \"user-login\": \"\",\n        \"viewport\": \"width=device-width\",\n        \"description\": \"The fundamental package for scientific computing with Python. - 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numpy/numpy: The fundamental package for scientific computing with Python.\",\n        \"og:url\": \"https://github.com/numpy/numpy\",\n        \"og:description\": \"The fundamental package for scientific computing with Python. - numpy/numpy\",\n        \"hostname\": \"github.com\",\n        \"expected-hostname\": \"github.com\",\n        \"go-import\": \"github.com/numpy/numpy git https://github.com/numpy/numpy.git\",\n        \"octolytics-dimension-user_id\": \"288276\",\n        \"octolytics-dimension-user_login\": \"numpy\",\n        \"octolytics-dimension-repository_id\": \"908607\",\n        \"octolytics-dimension-repository_nwo\": \"numpy/numpy\",\n        \"octolytics-dimension-repository_public\": \"true\",\n        \"octolytics-dimension-repository_is_fork\": \"false\",\n        \"octolytics-dimension-repository_network_root_id\": \"908607\",\n        \"octolytics-dimension-repository_network_root_nwo\": \"numpy/numpy\",\n        \"turbo-body-classes\": \"logged-out env-production page-responsive\",\n        \"browser-stats-url\": \"https://api.github.com/_private/browser/stats\",\n        \"browser-errors-url\": \"https://api.github.com/_private/browser/errors\",\n        \"theme-color\": \"#1e2327\",\n        \"color-scheme\": \"light dark\",\n        \"msapplication-TileImage\": \"/windows-tile.png\",\n        \"msapplication-TileColor\": \"#ffffff\",\n        \"route-pattern\": \"/:user_id/:repository/issues(.:format)\",\n        \"route-controller\": \"issues\",\n        \"route-action\": \"index\",\n        \"analytics-location-query-strip\": \"true\",\n        \"analytics-location\": \"/<user-name>/<repo-name>/issues/index\",\n        \"github-keyboard-shortcuts\": \"repository,issues,copilot\",\n        \"hovercard-subject-tag\": \"repository:908607\",\n        \"turbo-cache-control\": \"no-preview\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nHere is the transcription of all visible text on the page, including main content and UI elements:\n\n---\n\n**Header:**\n- Product\n- Solutions\n- Resources\n- Open Source\n- Enterprise\n- Pricing\n- Sign in\n- Sign up\n- Sponsor\n- Notifications\n- Fork 10.3k\n- Star 28.4k\n\n**Repository Name:**\n- numpy / numpy Public\n\n**Tabs:**\n- Code\n- Issues 2k\n- Pull requests 191\n- Actions\n- Projects 3\n- Wiki\n- Security\n- Insights\n\n**Issue Header:**\n- Ecosystem compatibility with numpy 2.0\n- #26191 opened on Apr 1, 2024 by rgommers\n- Open 139\n\n**Search Bar Placeholder Text:**\n- is:issue is:open\n\n**Labels, Milestones, and New Issue Buttons:**\n- Labels 93\n- Milestones 3\n- New issue\n\n**Issue Summary:**\n- 1,995 Open\n- 11,013 Closed\n\n**Issues Listing:**\n1. **Issue:**\n   - ENH: ndarray.__dlpack__ has no signature\n   - 01 - Enhancement\n   - 40 - array API standard\n   - #28085 opened 14 hours ago by lucascolley\n   - 3\n2. **Issue:**\n   - ENH: Efficient vectorized sampling without replacement\n   - 01 - Enhancement\n   - component: numpy.random\n   - #28084 opened 14 hours ago by Mark799\n   - 1\n3. **Issue:**\n   - Values from numpy 2 arrays are sometimes printed with unexpected type prefixes in dictionaries\n   - 00 - Bug\n   - 57 - Close?\n   - #28082 opened 19 hours ago by jbrumf\n   - 1\n4. **Issue:**\n   - DOC: Add information (maybe just release note) for typing regressions\n   - 04 - Documentation\n   - Static typing\n   - #28077 opened 3 days ago by seberg\n   - 4\n5. **Issue:**\n   - Overview issue: Typing regressions in NumPy 2.2\n   - Static typing\n   - #28076 opened 3 days ago by seberg\n   - 3\n6. **Issue:**\n   - BUG: dtype(\"c\") > dtype(\"S\") and dtype(\"c\") < dtype(\"S\") is True\n   - 00 - Bug\n   - #28072 opened last week by jorrenham\n   - 5\n7. **Issue:**\n   - TYP: inconsistent static typing of float64 addition\n   - 00 - Bug\n   - Static typing\n   - #28071 opened last week by tyralis\n   - 2\n\n---\n\nThis includes all visible main content and the labels of UI elements on the page.\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not fully satisfied yet because we haven't determined the exact date when the 'Regression' label was added to the oldest closed numpy.polynomial issue with this label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are making incremental progress and are not stuck in a loop. Each step is bringing us closer to filtering the necessary issues and finding the required information.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have successfully navigated to the Issues section of the NumPy GitHub repository, which is crucial for filtering issues by the 'Regression' label and finding the required information.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The next crucial step involves filtering issues by the 'Regression' label, which requires interaction with the webpage.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Filtering by the 'Regression' label will help us find the oldest closed issue with this label, which is crucial for determining when this label was added.\",\n    \"answer\": \"Please use the label filter to search for issues labeled 'Regression' by typing 'label:Regression' in the search bar and hitting Enter.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please use the label filter to search for issues labeled 'Regression' by typing 'label:Regression' in the search bar and hitting Enter.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I typed 'label:Regression' into 'Search all issues'.\n\nHere is a screenshot of [Issues · numpy/numpy · GitHub](https://github.com/numpy/numpy/issues?q=label%3ARegression). The viewport shows 99% of the webpage, and is positioned at the top of the page.\nAutomatic OCR of the page screenshot has detected the following text:\n\n**Website Header:**\n- Product\n- Solutions\n- Resources\n- Open Source\n- Enterprise \n- Pricing\n\n**Search Bar Placeholder:**\n- Search or jump to...\n\n**Authentication Links:**\n- Sign in\n- Sign up\n\n**Repository Header:**\n- numpy / numpy (Public)\n- Watch\n- Fork 10.3k\n- Star 28.4k\n\n**Navigation Tabs:**\n- Code\n- Issues 2k\n- Pull requests 191\n- Actions\n- Projects 3\n- Wiki\n- Security\n- Insights\n\n**Sponsor Button:**\n- Sponsor\n\n**Issue Filter Bar:**\n- Ecosystem compatibility with numpy 2.0\n#26191 opened on Apr 1, 2024 by rgommers\n- Open\n- 139\n\n**Search Bar:**\n- Clear current search query, filters, and sorts\n- Search\n- Labels 93\n- Milestones 3\n- New issue\n\n**Issue Tabs:**\n- 0 Open \n- 0 Closed\n- Author\n- Label\n- Projects\n- Milestones\n- Assignee\n- Sort\n\n**No Results Message:**\n- No results matched your search.\n- You could search all of GitHub or try an advanced search.\n\n**ProTip:**\n- ProTip! no:milestone will show everything without a milestone.\n\n**Footer:**\n- © 2025 GitHub, Inc.\n- Terms\n- Privacy\n- Security\n- Status\n- Docs\n- Contact\n- Manage cookies\n- Do not share my personal information\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not fully satisfied because the search did not return any issues with the 'Regression' label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have repeated attempts to locate issues with the 'Regression' label, but none were found.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"No progress is being made because the strategy to find the Regression label is not yielding results.\",\n    \"answer\": false\n  },\n  \"next_speaker\": {\n    \"reason\": \"To explore an alternative method to find the issue information.\",\n    \"answer\": \"Assistant\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To suggest an alternative approach to finding the needed information.\",\n    \"answer\": \"Let's refine the search by possibly looking for issues labeled 'Regression' across the entire repository first to verify if such label exists or has been used. Alternatively, we can explore retrieving data from a JSON or CSV export of the issues if available.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Let's refine the search by possibly looking for issues labeled 'Regression' across the entire repository first to verify if such label exists or has been used. Alternatively, we can explore retrieving data from a JSON or CSV export of the issues if available.", "role": "Orchestrator (-> Assistant)"}, {"content": "Next speaker Assistant\n/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/coder.py:55: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  response = await self._model_client.create(", "role": "Orchestrator (thought)"}, {"content": "Since the direct search for 'Regression' label didn't yield any results, we can try two alternate approaches:\n\n1. **Check if there is a JSON or CSV export for issues for manual examination.**\n\n2. **Verify if issues labeled 'Regression' exist across the repository.**\n\nLet's proceed with the second approach to confirm if there are issues labeled 'Regression' elsewhere in the repository and not just filtered incorrectly.\n\n### Steps:\n\n1. Navigate to the NumPy GitHub repository and search for issues labeled 'Regression' globally (use a broader search function).\n\n2. If no results are found, this might indicate the 'Regression' label hasn't been used in this repository.\n\n3. If we find issues with the label 'Regression', we will then look into details of the first few results to ascertain dates and other specifics.\n\n### Action:\n\n- Open an advanced search on GitHub to fetch issues labeled 'Regression' across the entire repository.\n\nNext, I will guide the WebSurfer step-by-step for a precise search.\n\n**To WebSurfer:**\n\n1. **Start Advanced Search:**\n   - Navigate to the search bar at the top of the GitHub page again but invoke advanced search (GitHub usually has an 'advanced search' link when a search yields no results or a magnifying glass icon which expands to more options).\n   - For advanced search, specify criteria broadly as `regression label:Regression state:all` but ensure it's executed across the entire repository and not just within the 'Issues' section first.\n\nGo ahead and perform these.\n\nNote: If advanced search still does not show any results, we will then try to seek the possibility of JSON or CSV exports.\n\nDo let me know once the advanced search yields results or make progress.", "role": "Assistant"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not fully satisfied as we have not yet identified the date when the Regression label was added to the oldest closed numpy.polynomial issue with the Regression label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have attempted to search for the Regression label directly within the numpy repository, but have not yet tried an advanced search across the entire repository.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are refining our search strategy by expanding the search scope and utilizing advanced search functions.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to perform an advanced search across the entire repository for issues labeled Regression.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To identify any issues labeled Regression in the entire repository, assisting in determining if such label exists and has been used.\",\n    \"answer\": \"Please perform an advanced search across the entire NumPy repository for issues labeled 'Regression' by using the broader search function available in GitHub (you may need to use advanced search options).\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please perform an advanced search across the entire NumPy repository for issues labeled 'Regression' by using the broader search function available in GitHub (you may need to use advanced search options).", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'advanced search'.\n\nHere is a screenshot of [GitHub · Where software is built](https://github.com/search/advanced). The viewport shows 41% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"meta_tags\": {\n        \"route-pattern\": \"/search/advanced(.:format)\",\n        \"route-controller\": \"codesearch\",\n        \"route-action\": \"advanced_search\",\n        \"current-catalog-service-hash\": \"845fcfebf72213b93a13dc2de7ea6169521dc228307a81cbb8b73c46027e6dae\",\n        \"request-id\": \"E38A:179DC1:3AD4BDA:4A80EA3:67768579\",\n        \"html-safe-nonce\": \"734b63ac557b1f75e21fd3f0ef8bc773f93f6c077ce667c50048f149907b81f3\",\n        \"visitor-payload\": \"eyJyZWZlcnJlciI6Imh0dHBzOi8vZ2l0aHViLmNvbS9udW1weS9udW1weS9pc3N1ZXM/cT1sYWJlbCUzQVJlZ3Jlc3Npb24iLCJyZXF1ZXN0X2lkIjoiRTM4QToxNzlEQzE6M0FENEJEQTo0QTgwRUEzOjY3NzY4NTc5IiwidmlzaXRvcl9pZCI6IjI5MDUyMzIxNDk4MDk4OTA1MTgiLCJyZWdpb25fZWRnZSI6ImphcGFuZWFzdCIsInJlZ2lvbl9yZW5kZXIiOiJqYXBhbmVhc3QifQ==\",\n        \"visitor-hmac\": \"ad27f2553c0f5b3f42ecccec026e99d9ad4ea69c9eb84308cc1083bb121fc595\",\n        \"github-keyboard-shortcuts\": \"copilot\",\n        \"google-site-verification\": \"Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I\",\n        \"octolytics-url\": \"https://collector.github.com/github/collect\",\n        \"user-login\": \"\",\n        \"turbo-cache-control\": \"no-preview\",\n        \"turbo-body-classes\": \"logged-out env-production page-responsive\",\n        \"browser-stats-url\": \"https://api.github.com/_private/browser/stats\",\n        \"browser-errors-url\": \"https://api.github.com/_private/browser/errors\",\n        \"theme-color\": \"#1e2327\",\n        \"color-scheme\": \"light dark\",\n        \"msapplication-TileImage\": \"/windows-tile.png\",\n        \"msapplication-TileColor\": \"#ffffff\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nSure, here's the transcription of all visible text on the page:\n\n---\n**Header:**\n- Product\n- Solutions\n- Resources\n- Open Source\n- Enterprise\n- Pricing\n- Search or jump to...\n- Sign in\n- Sign up\n\n**Main Content:**\n- Advanced search\n- Search\n\n**Advanced options:**\n- From these owners\n  - github, atom, electron, octokit\n- In these repositories\n  - twbs/bootstrap, rails/rails\n- Created on the dates\n  - >YYYY-MM-DD, YYYY-MM-DD\n- Written in this language\n  - Any language\n\n**Repositories options:**\n- With this many stars\n  - 0..100, 200, >1000\n- With this many forks\n  - 50..100, 200, <5\n- Of this size\n  - Repository size in KB\n- Pushed to\n  - <YYYY-MM-DD\n- With this license\n  - Any license\n- Return repositories not including forks.\n\n**Code options:**\n- With this extension\n  - rb, py, jpg\n\n---\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not yet satisfied because we have not identified the oldest closed issue in numpy.polynomial with the Regression label and the date it was added.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not in a loop as we are following steps to advance our search methodically.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"Progress is being made as we are refining our search method and have now moved to an advanced search in the entire repository.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer needs to continue the action based on advanced search progress.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To confirm if the 'Regression' label has been used anywhere in the repository, enabling us to filter further if necessary.\",\n    \"answer\": \"Please use the advanced search with the query 'regression label:Regression state:all' but ensure it's executed across the entire repository.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please use the advanced search with the query 'regression label:Regression state:all' but ensure it's executed across the entire repository.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I typed 'regression label:Regression state:all' into 'Advanced search'.\n\nHere is a screenshot of [Repository search results · GitHub](https://github.com/search?q=regression+label%3ARegression+state%3Aall&type=Repositories&ref=advsearch&l=&l=). The viewport shows 54% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"meta_tags\": {\n        \"route-pattern\": \"/search(.:format)\",\n        \"route-controller\": \"codesearch\",\n        \"route-action\": \"index\",\n        \"current-catalog-service-hash\": \"845fcfebf72213b93a13dc2de7ea6169521dc228307a81cbb8b73c46027e6dae\",\n        \"request-id\": \"E38A:179DC1:3AD5199:4A815ED:67768579\",\n        \"html-safe-nonce\": \"734b63ac557b1f75e21fd3f0ef8bc773f93f6c077ce667c50048f149907b81f3\",\n        \"visitor-payload\": \"eyJyZWZlcnJlciI6Imh0dHBzOi8vZ2l0aHViLmNvbS9zZWFyY2gvYWR2YW5jZWQiLCJyZXF1ZXN0X2lkIjoiRTM4QToxNzlEQzE6M0FENTE5OTo0QTgxNUVEOjY3NzY4NTc5IiwidmlzaXRvcl9pZCI6IjI5MDUyMzIxNDk4MDk4OTA1MTgiLCJyZWdpb25fZWRnZSI6ImphcGFuZWFzdCIsInJlZ2lvbl9yZW5kZXIiOiJqYXBhbmVhc3QifQ==\",\n        \"visitor-hmac\": \"43c1f8a450083b76bd92d7b310b7e33d75be72da5a4b08788be67bad649ba322\",\n        \"github-keyboard-shortcuts\": \"copilot\",\n        \"google-site-verification\": \"Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I\",\n        \"octolytics-url\": \"https://collector.github.com/github/collect\",\n        \"user-login\": \"\",\n        \"viewport\": \"width=device-width\",\n        \"description\": \"GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.\",\n        \"fb:app_id\": \"1401488693436528\",\n        \"apple-itunes-app\": \"app-id=1477376905, app-argument=https://github.com/search?q=regression+label%3ARegression+state%3Aall&type=Repositories&ref=advsearch&l=&l=\",\n        \"og:url\": \"https://github.com\",\n        \"og:site_name\": \"GitHub\",\n        \"og:title\": \"Build software better, together\",\n        \"og:description\": \"GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.\",\n        \"og:image\": \"https://github.githubassets.com/assets/github-octocat-13c86b8b336d.png\",\n        \"og:image:type\": \"image/png\",\n        \"og:image:width\": \"1200\",\n        \"og:image:height\": \"620\",\n        \"twitter:site\": \"github\",\n        \"twitter:site:id\": \"13334762\",\n        \"twitter:creator\": \"github\",\n        \"twitter:creator:id\": \"13334762\",\n        \"twitter:card\": \"summary_large_image\",\n        \"twitter:title\": \"GitHub\",\n        \"twitter:description\": \"GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.\",\n        \"twitter:image\": \"https://github.githubassets.com/assets/github-logo-55c5b9a1fe52.png\",\n        \"twitter:image:width\": \"1200\",\n        \"twitter:image:height\": \"1200\",\n        \"hostname\": \"github.com\",\n        \"expected-hostname\": \"github.com\",\n        \"turbo-cache-control\": \"no-cache\",\n        \"turbo-body-classes\": \"logged-out env-production page-responsive\",\n        \"browser-stats-url\": \"https://api.github.com/_private/browser/stats\",\n        \"browser-errors-url\": \"https://api.github.com/_private/browser/errors\",\n        \"theme-color\": \"#1e2327\",\n        \"color-scheme\": \"light dark\",\n        \"msapplication-TileImage\": \"/windows-tile.png\",\n        \"msapplication-TileColor\": \"#ffffff\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nSure, here is the transcribed text from the image:\n\n```\nProduct \nSolutions \nResources \nOpen Source \nEnterprise \nPricing \n\n\nSearch or jump to...\n\n\nSign in \nSign up \n\nFilter by\nCode\nRepositories\n253k\nIssues\n0\nPull requests\n0\nDiscussions\n0\nUsers\n5k\nMore\n\nAdvanced\nOwner\nSize\nNumber of followers\nNumber of forks\nNumber of stars\nDate created\nDate pushed\nTopic\nLicense\nArchived\nPublic\nPrivate\nAdvanced search\n\n253k results (169 ms)\n\nSort by: Best match\n\nStar\nbulkldc/ldsc\nLD Score Regression (LDSC)\n \nPython\n662\nUpdated on Aug 15, 2024\n\nStar\nHuddleEng/PhantomCSS\nPublic archive\nVisual/CSS regression testing with PhantomJS\n \nJavaScript\n4.7k\nUpdated on Dec 10, 2018\n\nStar\ntopepo/caret\ncaret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regres…\n \nR\n1.6k\nUpdated 22 days ago\n\nStar\nsajari/regression\nMultivariable regression library in Go\nregression\nlinear-regression\ngo\nGo\n402\nUpdated on Apr 23, 2024\n\nStar\nobladord/loki\nVisual Regression Testing for Storybook\ntesting\nandroid\nios\nreact-native\nreact\nJavaScript\n1.8k\nUpdated on Oct 11, 2024\n\nStar\nyfeng95/PRNet\nJoint 3D Face Reconstruction and Dense Alignment with Position Map Regression…\n\nSponsor open source projects you depend on\nContributors are working behind the scenes to make open source better for everyone—give them the help and recognition they deserve.\nExplore sponsorable projects\n\nProTip! Press the / key to activate the search input again and adjust your query.\n```\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not satisfied because we have yet to find the specific date when the Regression label was added to the oldest closed numpy.polynomial issue with that label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have attempted multiple searches without success, and are currently exploring advanced search options. However, it does seem repetitive as we haven't yet located the required information.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"There has been an exploration of advanced search options, but we haven't found the specific required data yet.\",\n    \"answer\": false\n  },\n  \"next_speaker\": {\n    \"reason\": \"We need to further explore potential JSON or CSV exports of issues data.\",\n    \"answer\": \"FileSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Check if there is a JSON or CSV export of NumPy repository issues (if supported by GitHub), and analyze for issues matching the Regression label in the numpy.polynomial module.\",\n    \"answer\": \"Check if there is a JSON or CSV export of NumPy repository issues (if supported by GitHub), and analyze for issues matching the Regression label in the numpy.polynomial module.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Check if there is a JSON or CSV export of NumPy repository issues (if supported by GitHub), and analyze for issues matching the Regression label in the numpy.polynomial module.", "role": "Orchestrator (-> FileSurfer)"}, {"content": "Next speaker FileSurfer\n/usr/local/lib/python3.11/site-packages/autogen_magentic_one/agents/file_surfer/file_surfer.py:93: UserWarning: Resolved model mismatch: gpt-4o-2024-08-06 != gpt-4o-2024-05-13. Model mapping may be incorrect.\n  create_result = await self._model_client.create(", "role": "Orchestrator (thought)"}, {"content": "GitHub itself does not directly support exporting issues to JSON or CSV through their web interface, but you can use the GitHub REST API to retrieve issue data in JSON format. Here’s how you can proceed:\n\n1. **Access the GitHub API to Retrieve Issues Data:**\n   - The GitHub API can be used to fetch issues data from a repository.\n   - You can filter issues by labels and states using query parameters.\n   - You can retrieve the full JSON output for analysis.\n\n2. **Filter Issues for numpy.polynomial with Regression Label:**\n   - After fetching the issues data, you can filter it for issues related to the numpy.polynomial module which have the 'Regression' label.\n\n### Step-by-Step Process:\n\n1. **Use GitHub REST API to Retrieve Issues:**\n   - The endpoint for fetching issues in a repository is:\n     ```\n     https://api.github.com/repos/:owner/:repo/issues\n     ```\n   - For the NumPy repository, it would be:\n     ```\n     https://api.github.com/repos/numpy/numpy/issues\n     ```\n   - You can use query parameters to filter by label and state. For example, to get issues with the 'Regression' label, you can use:\n     ```\n     https://api.github.com/repos/numpy/numpy/issues?labels=Regression&state=all\n     ```\n\n2. **Analyze JSON Data:**\n   - Once you retrieve the JSON data, you can parse it to find issues related to the numpy.polynomial module.\n   - Check the `title` and `body` fields of the issues for any mentions of `numpy.polynomial`.\n\n### Example Code to Retrieve and Parse Issues:\n\nHere’s an example using Python to get issues from the GitHub API, filter by label and state, and search mentions of `numpy.polynomial` in the issue fields:\n\n```python\nimport requests\n\n# Endpoint to get issues with Regression label\nurl = 'https://api.github.com/repos/numpy/numpy/issues'\nparams = {\n    'labels': 'Regression',\n    'state': 'all',\n    'per_page': 100  # Number of issues per page\n}\n\n# Get the issues from the GitHub API\nresponse = requests.get(url, params=params, headers={'Accept': 'application/vnd.github.v3+json'})\n\n# Check if request was successful\nif response.status_code == 200:\n    issues = response.json()\n\n    # Filter issues that mention numpy.polynomial\n    filtered_issues = [issue for issue in issues if 'numpy.polynomial' in issue.get('title', '') or 'numpy.polynomial' in issue.get('body', '')]\n\n    # Output filtered issue details\n    for issue in filtered_issues:\n        print(f\"Issue Title: {issue['title']}\")\n        print(f\"Created At: {issue['created_at']}\")\n        print(f\"Body: {issue.get('body', 'No body')}\\n\")\nelse:\n    print(f\"Failed to retrieve issues. Status code: {response.status_code}\")\n\n```\n\n### Next Steps:\n\n- Run the above script to fetch and filter issues.\n- Analyze the results to determine the oldest closed issue with the Regression label related to numpy.polynomial.\n- Write a summary of findings.\n\nLet me know if you need any specific help in setting up or running the script!", "role": "FileSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not fully satisfied yet because we have not found the oldest closed issue with the Regression label related to numpy.polynomial module.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not in a loop; we have attempted multiple strategies and are currently exploring a new one involving the GitHub API.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are making forward progress, having shifted to using the GitHub API to retrieve JSON data for further analysis.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The task requires running a Python script to fetch and filter issues from the GitHub API.\",\n    \"answer\": \"ComputerTerminal\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need to fetch and filter issues from the GitHub API using a Python script to find the relevant numpy.polynomial issues with the Regression label.\",\n    \"answer\": \"Run the provided Python script to retrieve and filter issues from the GitHub API. Check if there are issues mentioning numpy.polynomial with the Regression label, and provide details of the oldest closed issue.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Run the provided Python script to retrieve and filter issues from the GitHub API. Check if there are issues mentioning numpy.polynomial with the Regression label, and provide details of the oldest closed issue.", "role": "Orchestrator (-> ComputerTerminal)"}, {"content": "Next speaker ComputerTerminal", "role": "Orchestrator (thought)"}, {"content": "The script ran but produced no output to console. The Unix exit code was: 0. If you were expecting output, consider revising the script to ensure content is printed to stdout.", "role": "ComputerTerminal"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"We have not yet found the required information where Regression was added to the oldest closed numpy.polynomial issue with that label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"The steps taken so far have involved checking GitHub directly and running a script, but we have not repeated the exact same requests or actions multiple times.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are exploring different methods to achieve the goal, such as performing manual searches and running scripts to extract data.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The Python script to retrieve issues from GitHub did not produce the desired output. We need to debug and adjust the script to ensure it captures and filters the correct data.\",\n    \"answer\": \"Assistant\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"The initial response indicated no data was found. We should handle pagination and ensure correct filtering of 'Regression' labeled issues across the entire repository.\",\n    \"answer\": \"Revise the Python script to handle pagination and ensure all issues labeled 'Regression' are fetched correctly. Confirm the script checks for mentions of numpy.polynomial accurately.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Revise the Python script to handle pagination and ensure all issues labeled 'Regression' are fetched correctly. Confirm the script checks for mentions of numpy.polynomial accurately.", "role": "Orchestrator (-> Assistant)"}, {"content": "Next speaker Assistant", "role": "Orchestrator (thought)"}, {"content": "Let's revise the Python script to handle pagination properly. GitHub's API paginates results, so we need to iterate through all pages of issues to ensure we capture all relevant issues. Here’s the revised script with pagination handling:\n\n```python\n# filename: fetch_issues.py\nimport requests\n\ndef fetch_issues_with_label(owner, repo, label, per_page=100):\n    issues = []\n    page = 1\n\n    while True:\n        url = f'https://api.github.com/repos/{owner}/{repo}/issues'\n        params = {\n            'labels': label,\n            'state': 'all',\n            'per_page': per_page,  # Number of issues per page\n            'page': page\n        }\n\n        response = requests.get(url, params=params, headers={'Accept': 'application/vnd.github.v3+json'})\n        \n        if response.status_code != 200:\n            print(f\"Failed to retrieve issues. Status code: {response.status_code}\")\n            break\n\n        page_issues = response.json()\n        if not page_issues:\n            break\n\n        issues.extend(page_issues)\n        page += 1\n    \n    return issues\n\ndef filter_issues_by_keyword(issues, keyword):\n    filtered_issues = [\n        issue for issue in issues if keyword in issue.get('title', '') or keyword in issue.get('body', '')\n    ]\n    return filtered_issues\n\ndef main():\n    owner = 'numpy'\n    repo = 'numpy'\n    label = 'Regression'\n    keyword = 'numpy.polynomial'\n\n    issues = fetch_issues_with_label(owner, repo, label)\n\n    if issues:\n        filtered_issues = filter_issues_by_keyword(issues, keyword)\n        if filtered_issues:\n            oldest_issue = min(filtered_issues, key=lambda x: x['created_at'])\n            print(f\"Oldest Issue Title: {oldest_issue['title']}\")\n            print(f\"Created At: {oldest_issue['created_at']}\")\n            print(f\"Body: {oldest_issue.get('body', 'No body')}\")\n        else:\n            print(\"No issues found mentioning numpy.polynomial.\")\n    else:\n        print(\"No issues found with the specified label.\")\n\nif __name__ == \"__main__\":\n    main()\n```\n\n### Instructions:\n\n1. Save the script to a file named `fetch_issues.py`.\n\n2. Run the script using Python:\n\n```sh\npython fetch_issues.py\n```\n\nThis script will paginate through all issues labeled 'Regression' and filter those mentioning `numpy.polynomial`, then find the oldest one and print its details.\n\nPlease run the revised script and let me know the output.", "role": "Assistant"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The Python script provided has not yet been executed successfully or reviewed for any relevant issues.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"Though there is no direct repetition of requests, the lack of progress in retrieving required issue data suggests stagnation.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"Adjustments to the Python script for pagination and specific issue search reflect forward progress, although execution has not yet confirmed the results.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The revised script needs to be executed to proceed with retrieving the filtered issues data.\",\n    \"answer\": \"ComputerTerminal\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To confirm if there are any issues with the specified label and relevant keywords, the improved script should be run.\",\n    \"answer\": \"Please execute the revised Python script fetch_issues.py to print details of the oldest closed issue mentioning numpy.polynomial with the Regression label.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please execute the revised Python script fetch_issues.py to print details of the oldest closed issue mentioning numpy.polynomial with the Regression label.", "role": "Orchestrator (-> ComputerTerminal)"}, {"content": "Next speaker ComputerTerminal", "role": "Orchestrator (thought)"}, {"content": "The script ran, then exited with Unix exit code: 0\nIts output was:\nNo issues found with the specified label.", "role": "ComputerTerminal"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not satisfied because no issues with the 'Regression' label mentioning 'numpy.polynomial' have been found.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We haven't repeated actions excessively, but we're not finding issues with the required label.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We verified that no issues with the 'Regression' label mentioning 'numpy.polynomial' exist in the dataset from GitHub API, thus confirming part of our earlier assumptions.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"Assistant needs to provide an alternative approach since the primary search didn\\u2019t show expected results.\",\n    \"answer\": \"Assistant\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Reevaluate the requirements and consider if the 'Regression' label could be alternatively named or if there is documentation identifying relevant issues differently.\",\n    \"answer\": \"We should look into whether the 'Regression' label might be named differently (like 'Bug-Regression') or if there's some documentation supplied by the NumPy team that could guide us. Alternatively, should we explicitly search for similar issues without relying solely on the label?\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "We should look into whether the 'Regression' label might be named differently (like 'Bug-Regression') or if there's some documentation supplied by the NumPy team that could guide us. Alternatively, should we explicitly search for similar issues without relying solely on the label?", "role": "Orchestrator (-> Assistant)"}, {"content": "Next speaker Assistant", "role": "Orchestrator (thought)"}, {"content": "Since the 'Regression' label didn’t yield any results, it's possible the label name might be different, or there may be other related labels. We can explore the NumPy GitHub repository for available labels to better understand what labels have been used.\n\nHere's the updated strategy:\n\n1. **Fetch All Labels in the Repository**:\n   - Use the GitHub API to list all labels in the NumPy repository.\n\n2. **Identify Relevant Labels**:\n   - Examine the fetched labels to find any potential variations of the 'Regression' label.\n\n3. **Search for Issues Using Identified Labels**:\n   - Once relevant labels are identified, modify our search to include those labels.\n   - Explicitly search issue titles and bodies for 'regression' references.\n\n### Steps:\n\n1. **Fetch All Labels**:\n   - Use the GitHub API to list all labels for the NumPy repository.\n\n2. **Update Script to Search Using Identified Labels**:\n   - Modify the script to include newly identified labels in the search.\n\n### Fetch Labels Script:\n\nLet's first fetch all labels to identify any relevant variations:\n\n```python\n# filename: fetch_labels.py\nimport requests\n\ndef fetch_labels(owner, repo, per_page=100):\n    labels = []\n    page = 1\n\n    while True:\n        url = f'https://api.github.com/repos/{owner}/{repo}/labels'\n        params = {\n            'per_page': per_page,\n            'page': page\n        }\n\n        response = requests.get(url, params=params, headers={'Accept': 'application/vnd.github.v3+json'})\n        \n        if response.status_code != 200:\n            print(f\"Failed to retrieve labels. Status code: {response.status_code}\")\n            break\n\n        page_labels = response.json()\n        if not page_labels:\n            break\n\n        labels.extend(page_labels)\n        page += 1\n    \n    return labels\n\ndef main():\n    owner = 'numpy'\n    repo = 'numpy'\n\n    labels = fetch_labels(owner, repo)\n\n    if labels:\n        for label in labels:\n            print(f\"Label Name: {label['name']}\")\n    else:\n        print(\"No labels found.\")\n\nif __name__ == \"__main__\":\n    main()\n```\n\n### Instructions:\n\n1. Save the script to a file named `fetch_labels.py`.\n\n2. Run the script using Python:\n\n```sh\npython fetch_labels.py\n```\n\nThis will list all labels in the NumPy repository.\n\n### Next Steps:\n\n1. **Review the list of labels** to identify any relevant ones related to regression.\n\n2. **Update the search script** to include these labels and search explicitly for issue contents.\n\nPlease execute the fetch_labels.py script to retrieve and examine the labels.", "role": "Assistant"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request to find the date when Regression was added to the oldest closed numpy.polynomial issue has not been satisfied because the existing script did not find any issues labeled with Regression.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not repeating the same actions, but we are iterating on different methods to find relevant data.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We are making incremental progress by exploring new methods and improving our search scope. The next step involves fetching all the labels to gain a broader understanding.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The next action involves running a script to fetch all labels from the repository.\",\n    \"answer\": \"ComputerTerminal\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need to gather data on all the labels used in the repository to identify any possible variations of the 'Regression' label.\",\n    \"answer\": \"Please execute the provided Python script fetch_labels.py to retrieve and list all labels used in the numpy/numpy repository.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please execute the provided Python script fetch_labels.py to retrieve and list all labels used in the numpy/numpy repository.", "role": "Orchestrator (-> ComputerTerminal)"}, {"content": "Next speaker ComputerTerminal", "role": "Orchestrator (thought)"}, {"content": "The script ran, then exited with Unix exit code: 0\nIts output was:\nLabel Name: 00 - Bug\nLabel Name: 01 - Enhancement\nLabel Name: 03 - Maintenance\nLabel Name: 04 - Documentation\nLabel Name: 05 - Testing\nLabel Name: 06 - Regression\nLabel Name: 07 - Deprecation\nLabel Name: 08 - Backport\nLabel Name: 09 - Backport-Candidate\nLabel Name: 10 - Forwardport-Candidate\nLabel Name: 14 - Release\nLabel Name: 15 - Discussion\nLabel Name: 16 - Development\nLabel Name: 17 - Task\nLabel Name: 23 - Wish List\nLabel Name: 24 - PyPy\nLabel Name: 25 - WIP\nLabel Name: 26 - Compiler\nLabel Name: 28 - Benchmark\nLabel Name: 29 - Intel/Anaconda\nLabel Name: 30 - API\nLabel Name: 31 - Third-party binaries\nLabel Name: 32 - Installation\nLabel Name: 33 - Question\nLabel Name: 34 - Reversion\nLabel Name: 35 - How-To candidate\nLabel Name: 36 - Build\nLabel Name: 38 - Cross compilation\nLabel Name: 39 - free-threading\nLabel Name: 40 - array API standard\nLabel Name: 50 - Duplicate\nLabel Name: 51 - In progress\nLabel Name: 52 -  Inactive\nLabel Name: 53 - Invalid\nLabel Name: 54 - Needs decision\nLabel Name: 55 - Needs work\nLabel Name: 56 - Needs Release Note.\nLabel Name: 57 - Close?\nLabel Name: 58 - Ready for review\nLabel Name: 59 - Needs tests\nLabel Name: 60 - Major release\nLabel Name: 62 - Python API\nLabel Name: 63 - C API\nLabel Name: 64 - Good Idea\nLabel Name: C++\nLabel Name: component: __array_function__\nLabel Name: component: benchmarks\nLabel Name: component: build\nLabel Name: component: CI\nLabel Name: component: contributing guide\nLabel Name: component: distribution\nLabel Name: component: documentation\nLabel Name: component: NEP\nLabel Name: component: npy_math\nLabel Name: component: numpy._core\nLabel Name: component: numpy.array_api\nLabel Name: component: numpy.ctypes\nLabel Name: component: numpy.datetime64\nLabel Name: component: numpy.distutils\nLabel Name: component: numpy.dtype\nLabel Name: component: numpy.einsum\nLabel Name: component: numpy.f2py\nLabel Name: component: numpy.fft\nLabel Name: component: numpy.lib\nLabel Name: component: numpy.linalg\nLabel Name: component: numpy.ma\nLabel Name: component: numpy.matrixlib\nLabel Name: component: numpy.polynomial\nLabel Name: component: numpy.random\nLabel Name: component: numpy.strings\nLabel Name: component: numpy.testing\nLabel Name: component: numpy.ufunc\nLabel Name: component: Other\nLabel Name: component: SIMD\nLabel Name: component: swig\nLabel Name: defunct — difficulty: Intermediate\nLabel Name: Dependencies\nLabel Name: Embedded\nLabel Name: github_actions\nLabel Name: HWY\nLabel Name: Meson\nLabel Name: Numpy 2.0 API Changes\nLabel Name: Patch\nLabel Name: Priority: high\nLabel Name: Priority: low\nLabel Name: Project\nLabel Name: Proposal\nLabel Name: sprintable\nLabel Name: sprintable - C\nLabel Name: Static typing\nLabel Name: Tracking / planning\nLabel Name: triage review\nLabel Name: triaged", "role": "ComputerTerminal"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The original request to find the date when the Regression label was added to the oldest closed numpy.polynomial issue has not yet been fully addressed. No issues with the exact label 'Regression' were found initially. We discovered that the correct label is '06 - Regression'. Thus, we need to update our search to use this label.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have not been repeating the same steps. We successfully identified the correct label and are progressing towards a focused search.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"Identifying the correct label '06 - Regression' is forward progress. We can now refine our search and aim to retrieve the appropriate issues.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"To retrieve and filter issues using the identified label, the script needs to be updated and run again.\",\n    \"answer\": \"ComputerTerminal\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Update and run the script to retrieve issues using the correct label '06 - Regression' and filter them to find mentions of 'numpy.polynomial'.\",\n    \"answer\": \"Update the fetch_issues.py script to use the '06 - Regression' label for issue retrieval and rerun the script to check for any issues mentioning 'numpy.polynomial'.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Update the fetch_issues.py script to use the '06 - Regression' label for issue retrieval and rerun the script to check for any issues mentioning 'numpy.polynomial'.", "role": "Orchestrator (-> ComputerTerminal)"}, {"content": "Next speaker ComputerTerminal", "role": "Orchestrator (thought)"}, {"content": "The script ran, then exited with Unix exit code: 0\nIts output was:\nLabel Name: 00 - Bug\nLabel Name: 01 - Enhancement\nLabel Name: 03 - Maintenance\nLabel Name: 04 - Documentation\nLabel Name: 05 - Testing\nLabel Name: 06 - Regression\nLabel Name: 07 - Deprecation\nLabel Name: 08 - Backport\nLabel Name: 09 - Backport-Candidate\nLabel Name: 10 - Forwardport-Candidate\nLabel Name: 14 - Release\nLabel Name: 15 - Discussion\nLabel Name: 16 - Development\nLabel Name: 17 - Task\nLabel Name: 23 - Wish List\nLabel Name: 24 - PyPy\nLabel Name: 25 - WIP\nLabel Name: 26 - Compiler\nLabel Name: 28 - Benchmark\nLabel Name: 29 - Intel/Anaconda\nLabel Name: 30 - API\nLabel Name: 31 - Third-party binaries\nLabel Name: 32 - Installation\nLabel Name: 33 - Question\nLabel Name: 34 - Reversion\nLabel Name: 35 - How-To candidate\nLabel Name: 36 - Build\nLabel Name: 38 - Cross compilation\nLabel Name: 39 - free-threading\nLabel Name: 40 - array API standard\nLabel Name: 50 - Duplicate\nLabel Name: 51 - In progress\nLabel Name: 52 -  Inactive\nLabel Name: 53 - Invalid\nLabel Name: 54 - Needs decision\nLabel Name: 55 - Needs work\nLabel Name: 56 - Needs Release Note.\nLabel Name: 57 - Close?\nLabel Name: 58 - Ready for review\nLabel Name: 59 - Needs tests\nLabel Name: 60 - Major release\nLabel Name: 62 - Python API\nLabel Name: 63 - C API\nLabel Name: 64 - Good Idea\nLabel Name: C++\nLabel Name: component: __array_function__\nLabel Name: component: benchmarks\nLabel Name: component: build\nLabel Name: component: CI\nLabel Name: component: contributing guide\nLabel Name: component: distribution\nLabel Name: component: documentation\nLabel Name: component: NEP\nLabel Name: component: npy_math\nLabel Name: component: numpy._core\nLabel Name: component: numpy.array_api\nLabel Name: component: numpy.ctypes\nLabel Name: component: numpy.datetime64\nLabel Name: component: numpy.distutils\nLabel Name: component: numpy.dtype\nLabel Name: component: numpy.einsum\nLabel Name: component: numpy.f2py\nLabel Name: component: numpy.fft\nLabel Name: component: numpy.lib\nLabel Name: component: numpy.linalg\nLabel Name: component: numpy.ma\nLabel Name: component: numpy.matrixlib\nLabel Name: component: numpy.polynomial\nLabel Name: component: numpy.random\nLabel Name: component: numpy.strings\nLabel Name: component: numpy.testing\nLabel Name: component: numpy.ufunc\nLabel Name: component: Other\nLabel Name: component: SIMD\nLabel Name: component: swig\nLabel Name: defunct — difficulty: Intermediate\nLabel Name: Dependencies\nLabel Name: Embedded\nLabel Name: github_actions\nLabel Name: HWY\nLabel Name: Meson\nLabel Name: Numpy 2.0 API Changes\nLabel Name: Patch\nLabel Name: Priority: high\nLabel Name: Priority: low\nLabel Name: Project\nLabel Name: Proposal\nLabel Name: sprintable\nLabel Name: sprintable - C\nLabel Name: Static typing\nLabel Name: Tracking / planning\nLabel Name: triage review\nLabel Name: triaged", "role": "ComputerTerminal"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"We have identified the correct label '06 - Regression', and now we need to update the script to fetch issues using this label and check for numpy.polynomial mentions.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We appear to be repeating requests related to identifying or using the correct label for issues.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We successfully identified the correct label '06 - Regression' and outlined the steps to update and rerun the script to search for relevant issues.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The script needs to be updated and rerun with the correct label to check for issues mentioning numpy.polynomial.\",\n    \"answer\": \"ComputerTerminal\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"The previous script using the 'Regression' label yielded no results. We should now update the script to use the '06 - Regression' label and rerun it.\",\n    \"answer\": \"Update the fetch_issues.py script to use the '06 - Regression' label for issue retrieval and rerun the script to check for any issues mentioning 'numpy.polynomial'.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Stalled.... Replanning...", "role": "Orchestrator (thought)"}, {"content": "New plan:\n\nWe are working to address the following user request:\n\nAccording to github, when was Regression added to the oldest closed numpy.polynomial issue that has the Regression label in MM/DD/YY?\n\n\nTo answer this request we have assembled the following team:\n\nAssistant: A helpful and general-purpose AI assistant that has strong language skills, Python skills, and Linux command line skills.\nComputerTerminal: A computer terminal that performs no other action than running Python scripts (provided to it quoted in ```python code blocks), or sh shell scripts (provided to it quoted in ```sh code blocks)\nFileSurfer: An agent that can handle local files.\nWebSurfer: A helpful assistant with access to a web browser. Ask them to perform web searches, open pages, and interact with content (e.g., clicking links, scrolling the viewport, etc., filling in form fields, etc.) It can also summarize the entire page, or answer questions based on the content of the page. It can also be asked to sleep and wait for pages to load, in cases where the pages seem to be taking a while to load.\n\n\n\nHere is an initial fact sheet to consider:\n\nHere’s the updated fact sheet incorporating what we have learned so far:\n\n1. GIVEN OR VERIFIED FACTS\n- The request involves finding the date when the Regression label was added to an issue in the numpy.polynomial GitHub repository.\n- The NumPy GitHub repository is located at https://github.com/numpy/numpy.\n- The Issues section of the NumPy GitHub repository can be accessed at https://github.com/numpy/numpy/issues.\n- The specific label that includes 'Regression' in its name is '06 - Regression'.\n\n2. FACTS TO LOOK UP\n- The specific issues within the numpy.polynomial submodule that have the '06 - Regression' label.\n- The exact date when the '06 - Regression' label was added to the oldest closed issue with this label in that submodule.\n\n3. FACTS TO DERIVE\n- Determine the oldest closed issue in the numpy.polynomial section with the '06 - Regression' label by looking at the dates of various issues.\n- Determine the specific MM/DD/YY date when the '06 - Regression' label was applied to this issue.\n\n4. EDUCATED GUESSES\n- Searching for the '06 - Regression' label in the entire NumPy repository issues may provide the list of issues across all submodules, including numpy.polynomial.\n- Given the high number of issues (2k open and 11k closed), sorting and filtering by label '06 - Regression' and manually checking the oldest issues might be necessary.\n- It's likely that the Regression label's addition timestamp can be found in the issue's activity or event logs on GitHub.\n- There might be variations or different expressions of the Regression label (like '06 - Regression', 'Bug-Regression'), so it's essential to ensure we capture the correct label used in the repository.\n\nBy focusing on filtering the '06 - Regression' label and identifying the oldest closed issue, we can methodically determine when the label was added.\n\nNext, let’s use the identified label '06 - Regression' to search for related issues mentioning `numpy.polynomial`.\n\n### Updated Python Script:\n\nTo incorporate this new label, let's update our search:\n\n```python\nimport requests\n\ndef fetch_issues_with_label(owner, repo, label, per_page=100):\n    issues = []\n    page = 1\n\n    while True:\n        url = f'https://api.github.com/repos/{owner}/{repo}/issues'\n        params = {\n            'labels': label,\n            'state': 'all',\n            'per_page': per_page,\n            'page': page  # Number of issues per page\n        }\n\n        response = requests.get(url, params=params, headers={'Accept': 'application/vnd.github.v3+json'})\n        \n        if response.status_code != 200:\n            print(f\"Failed to retrieve issues. Status code: {response.status_code}\")\n            break\n\n        page_issues = response.json()\n        if not page_issues:\n            break\n\n        issues.extend(page_issues)\n        page += 1\n    \n    return issues\n\ndef filter_issues_by_keyword(issues, keyword):\n    filtered_issues = [\n        issue for issue in issues if keyword in issue.get('title', '') or keyword in issue.get('body', '')\n    ]\n    return filtered_issues\n\ndef main():\n    owner = 'numpy'\n    repo = 'numpy'\n    label = '06 - Regression'\n    keyword = 'numpy.polynomial'\n\n    issues = fetch_issues_with_label(owner, repo, label)\n\n    if issues:\n        filtered_issues = filter_issues_by_keyword(issues, keyword)\n        if filtered_issues:\n            oldest_issue = min(filtered_issues, key=lambda x: x['created_at'])\n            print(f\"Oldest Issue Title: {oldest_issue['title']}\")\n            print(f\"Created At: {oldest_issue['created_at']}\")\n            print(f\"Body: {oldest_issue.get('body', 'No body')}\")\n        else:\n            print(\"No issues found mentioning numpy.polynomial.\")\n    else:\n        print(\"No issues found with the specified label.\")\n\nif __name__ == \"__main__\":\n    main()\n```\n\nPlease proceed to run this updated script to find the relevant issues.\n\n\nHere is the plan to follow as best as possible:\n\n### Root Cause of Failure\n1. The initial searches using the 'Regression' label yielded no results because the label was initially misidentified.\n2. The label ‘06 - Regression’ was identified later, but the second fetch and search for issues using this label didn’t yield results related to `numpy.polynomial`.\n\n### New Plan to Overcome Prior Challenges\n1. **Label Identification (Clarification)**:\n   - **WebSurfer**: Verify the exact naming patterns and usage of '06 - Regression' in the GitHub repository and any variations that might exist.\n\n2. **Comprehensive Search**:\n   - **WebSurfer**: Perform searches not only with the label '06 - Regression' but also explore issues without this label containing `Regression` in their description/title.\n\n3. **Update Script Check with Detailed Output**:\n   - Fine-tune the script to ensure it clearly checks the labeling and provides more informative and detailed feedback about which issues it processes and any potential skips.\n   - Use more verbose logging to understand the flow better.\n\n### Steps:\n1. **Verify Labels and Variants**:\n   - **WebSurfer**: Ensure that the '06 - Regression' label and any other potential variants (if any) are cross-checked.\n\n2. **Python Script Update (with Detailed Debugging)**:\n   - **Assistant**: Update the script to print each issue's title and body content as it processes them to validate the correct search flow.\n\n```python\n# filename: fetch_issues_verbose.py\nimport requests\n\ndef fetch_issues_with_label(owner, repo, label, per_page=100):\n    issues = []\n    page = 1\n\n    while True:\n        url = f'https://api.github.com/repos/{owner}/{repo}/issues'\n        params = {\n            'labels': label,\n            'state': 'all',\n            'per_page': per_page,\n            'page': page # Number of issues per page\n        }\n\n        response = requests.get(url, params=params, headers={'Accept': 'application/vnd.github.v3+json'})\n        \n        if response.status_code != 200:\n            print(f\"Failed to retrieve issues. Status code: {response.status_code}\")\n            break\n\n        page_issues = response.json()\n        if not page_issues:\n            break\n\n        issues.extend(page_issues)\n        page += 1\n    \n    return issues\n\ndef filter_issues_by_keyword(issues, keyword):\n    filtered_issues = [\n        issue for issue in issues if keyword in issue.get('title', '').lower() or keyword in issue.get('body', '').lower()\n    ]\n    return filtered_issues\n\ndef main():\n    owner = 'numpy'\n    repo = 'numpy'\n    label = '06 - Regression'\n    keyword = 'numpy.polynomial'\n\n    print(f\"Fetching issues with label: {label}\")\n    issues = fetch_issues_with_label(owner, repo, label)\n    \n    if issues:\n        print(f\"Total issues fetched: {len(issues)}\")\n    else:\n        print(\"No issues found with the specified label.\")\n        return\n    \n    print(f\"Filtering for issues mentioning {keyword}\")\n    filtered_issues = filter_issues_by_keyword(issues, keyword)\n    \n    for issue in filtered_issues:\n        print(f\"Checking Issue: {issue['title']}\")\n        print(f\"Body Content: {issue.get('body', 'No body')}\")\n    \n    if filtered_issues:\n        oldest_issue = min(filtered_issues, key=lambda x: x['created_at'])\n        print(f\"Oldest Issue Title: {oldest_issue['title']}\")\n        print(f\"Created At: {oldest_issue['created_at']}\")\n        print(f\"Body: {oldest_issue.get('body', 'No body')}\")\n    else:\n        print(\"No issues found mentioning numpy.polynomial.\")\n    \n\nif __name__ == \"__main__\":\n    main()\n```\n\n3. **Run the Updated Script**:\n   - **ComputerTerminal**: Execute `fetch_issues_verbose.py` to ensure detailed logging and check for issues.\n\n4. **Cross-check Results and Validate**:\n   - Analyze results for accurate identification.\n   - Identify the date when the '06 - Regression' label was added to the oldest closed issue that mentions `numpy.polynomial`.\n\nBy following these steps, we can narrow down the issue identification process and avoid missing potential cases or scenarios.", "role": "Orchestrator (thought)"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not yet satisfied as we haven't identified the exact date when the Regression label was added to the oldest closed numpy.polynomial issue.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are iterating on different approaches but not repeating identical steps yet, so no loop is detected.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"The implementation of a more comprehensive and detailed script is a step forward, but it hasn't been executed yet.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"The next step is to run the updated Python script to fetch and filter issues.\",\n    \"answer\": \"ComputerTerminal\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"Running the updated script will help identify relevant issues with the Regression label.\",\n    \"answer\": \"Please run the updated Python script provided to fetch and filter issues related to numpy.polynomial with the Regression label.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please run the updated Python script provided to fetch and filter issues related to numpy.polynomial with the Regression label.", "role": "Orchestrator (-> ComputerTerminal)"}, {"content": "Next speaker ComputerTerminal", "role": "Orchestrator (thought)"}, {"content": "The script ran, then exited with Unix exit code: 0\nIts output was:\nOldest Issue Title: BUG: deep copying polybase broken\nCreated At: 2022-11-24T23:45:07Z\nBody: ### Describe the issue:\n\nThe issue is at line 502 in _polybase.py:\nret['symbol'] = self.symbol.copy()\n\nPronblem is that self.symbol is a string and has no copy method. Instead should be assigned directly as it is immutable:\n\nret['symbol'] = self.symbol\n\n### Reproduce the code example:\n\n```python\n>>> from numpy.polynomial import Polynomial\n>>> x = Polynomial([1, 2, 3])\n>>> from copy import deepcopy\n>>> deepcopy(x)\n```\n\n\n### Error message:\n\n```shell\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/usr/lib/python3.8/copy.py\", line 161, in deepcopy\n    rv = reductor(4)\n  File \"/hdd/tmp/tempvenv/lib/python3.8/site-packages/numpy/polynomial/_polybase.py\", line 502, in __getstate__\n    ret['symbol'] = self.symbol.copy()\nAttributeError: 'str' object has no attribute 'copy'\n```\n\n\n### NumPy/Python version information:\n\n1.24.0rc1 3.8.10 (default, Jun 22 2022, 20:18:18) \n[GCC 9.4.0]\n\n\n### Context for the issue:\n\nEasy fix in the bug description.", "role": "ComputerTerminal"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"We have identified the oldest closed issue with the Regression label in the numpy.polynomial module, but we still need the specific date when the Regression label was added to this issue.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have progressed by identifying the relevant issue, but we still need to determine when the Regression label was added to this issue.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have identified the oldest closed issue with the Regression label related to numpy.polynomial.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"To extract the specific date when the Regression label was added to the identified issue, we should use web browsing to check the issue's timeline on GitHub.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need to verify the exact date when the Regression label was added to the oldest closed issue mentioning numpy.polynomial.\",\n    \"answer\": \"Please navigate to the issue link in the numpy GitHub repository with title 'BUG: deep copying polybase broken' created on 2022-11-24T23:45:07Z and check its timeline to find the exact date when the 'Regression' label was added.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please navigate to the issue link in the numpy GitHub repository with title 'BUG: deep copying polybase broken' created on 2022-11-24T23:45:07Z and check its timeline to find the exact date when the 'Regression' label was added.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I typed 'numpy github issues BUG: deep copying polybase broken created 2022-11-24T23:45:07Z' into '0 characters out of 2000'.\n\nHere is a screenshot of [numpy github issues BUG: deep copying polybase broken created 2022-11-24T23:45:07Z - Search](https://www.bing.com/search?q=numpy+github+issues+BUG%3A+deep+copying+polybase+broken+created+2022-11-24T23%3A45%3A07Z&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=C3878DAF42F84EBBAE99BADBB74ECF03&ghsh=0&ghacc=0&ghpl=). The viewport shows 35% of the webpage, and is positioned at the top of the page.\nThe following metadata was extracted from the webpage:\n\n{\n    \"meta_tags\": {\n        \"referrer\": \"origin-when-cross-origin\",\n        \"SystemEntropyOriginTrialToken\": \"A1L3tx5CzccqjN3lK6st/fXMwhf9EeokCPf8XCt0DVI8JPbg37BWq0zKvlqgkdm8YEUbthoGkC/xdR1+iIz4txAAAABxeyJvcmlnaW4iOiJodHRwczovL3d3dy5iaW5nLmNvbTo0NDMiLCJmZWF0dXJlIjoiTXNVc2VyQWdlbnRMYXVuY2hOYXZUeXBlIiwiZXhwaXJ5IjoxNzM5NzI0MzExLCJpc1N1YmRvbWFpbiI6dHJ1ZX0=\",\n        \"og:description\": \"Intelligent search from Bing makes it easier to quickly find what you\\u2019re looking for and rewards you.\",\n        \"og:site_name\": \"Bing\",\n        \"og:title\": \"numpy github issues BUG: deep copying polybase broken created 2022-11-24T23:45:07Z - Bing\",\n        \"og:url\": \"https://www.bing.com/search?q=numpy+github+issues+BUG%3A+deep+copying+polybase+broken+created+2022-11-24T23%3A45%3A07Z&form=QBLH&sp=-1&lq=0&pq=&sc=0-0&qs=n&sk=&cvid=C3878DAF42F84EBBAE99BADBB74ECF03&ghsh=0&ghacc=0&ghpl=\",\n        \"fb:app_id\": \"3732605936979161\",\n        \"og:image\": \"http://www.bing.com/sa/simg/facebook_sharing_5.png\",\n        \"og:type\": \"website\",\n        \"og:image:width\": \"600\",\n        \"og:image:height\": \"315\"\n    }\n}\n\nAutomatic OCR of the page screenshot has detected the following text:\n\nSure, here is the transcription of all visible text on the page:\n\n---\n\n**Search bar text:**\n\"numpy github issues BUG: deep copying polybase broken created 2022-11-24T23:45:07Z\"\n\n**UI elements and labels:**\n\"Microsoft Bing\"\n\"Search\"\n\"Copilot\"\n\"Images\"\n\"Videos\"\n\"Maps\"\n\"News\"\n\"More\"\n\"Tools\"\n\"Deep search\"\n\"Sign in\"\n\"9\"\n(Icon of the User Profile)\n\n**Main Content:**\n\n\"About 2,150 results\"\n\n\"Including results for NumPy GitHub issues BUG deep copying polybase broken create 2022-11-24T23:45:07Z.\"\n\"Do you want results only for numpy github issues BUG: deep copying polybase broken created 2022-11-24T23:45:07Z?\"\n\n**First search result:**\n\n\"Github\"\n\"https://github.com › numpy › numpy › issues\"\n\n\"BUG: deep copying polybase broken · Issue #22669 · ...\"\n\"Nov 24, 2022 · On line 502, self.symbol.copy () was called, which causes an AttributeError, since self.symbol is a string, so it doesn't have a copy () method. To fix it, I simply removed the copy ...\"\n\n**Second search result:**\n\n\"Github\"\n\"https://github.com › numpy › numpy › issues\"\n\n\"BUG: Error while trying to create a deepcopy of numpy ...\"\n\"Feb 9, 2022 · We faced an issue when trying to create a deepcopy of numpy masked_array which was created from masked constant - the result of numpy.prod operation. But when we create ...\"\n\n\"Tags: NumPy Deepcopy\"\n\n**Third search result:**\n\n\"Github\"\n\"https://github.com › numpy › numpy › issues\"\n\n\"BUG: `astype(copy=False)` and `asarray` deep-copy the buffer ...\"\n\"Oct 6, 2024 · Describe the issue: When ndarray.astype (..., copy=False) converts between two dtypes with same word size that exclusively differ in signedness, it deep-copies the buffer but ...\"\n\n**People also ask:**\n\n**Question 1:**\n\"Can I make a deep copy of a NumPy array?\"\n\"Yes, you can make a deep copy of a NumPy array using the numpy.copy ()\"\n\n**Question 2:**\n\"How to clone a NumPy array using deepcopy?\"\n\"def deepCopyArrayNumPy(arrayNumPy):\"\n\"clone =\"\n\n\n\n**Question 3:**\n\"Is a deepcopy of NumPy arrays (or most arrays ...\"\n\n---\n\nThis covers all the visible text on the page, including main content and UI elements.\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request is not satisfied as we still need to find the exact date when the '06 - Regression' label was added to the issue.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We are not in a loop as we are making progress in the investigation process.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have identified and found the specific issue on GitHub, but we now need to check the timeline for when the label was added.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"We need to verify the exact timeline information from GitHub.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We are now at the point where we need to check the timeline for the addition of the '06 - Regression' label to the issue.\",\n    \"answer\": \"Open the link to the issue with title 'BUG: deep copying polybase broken \\u00b7 Issue #22669' on the numpy GitHub repository and check the timeline to find the date when the '06 - Regression' label was added.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Open the link to the issue with title 'BUG: deep copying polybase broken · Issue #22669' on the numpy GitHub repository and check the timeline to find the date when the '06 - Regression' label was added.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked 'BUG: deep copying polybase broken · Issue #22669 · …'.\n\nHere is a screenshot of [BUG: deep copying polybase broken · Issue #22669 · numpy/numpy · GitHub](https://github.com/numpy/numpy/issues/22669). 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Instead should be assigned directly as it is immutable:\n\nret['symbol'] = self.symbol\n\nReproduce the code example:\n\n```\n>>> from numpy.polynomial import Polynomial\n>>> x = Polynomial([1, 2, 3])\n>>> from copy import deepcopy\n>>> deepcopy(x)\n```\nError message:\n\n```\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/usr/lib/python3.8/copy.py\", line 161, in deepcopy\n    y = reductor(4)\n  File \"/hdd/tmp/tempenvmv/lib/python3.8/site-packages/numpy/polynomial/_polybase.py\", line 502, in __getstate__\n    ret['symbol'] = self.symbol.copy()\nAttributeError: 'str' object has no attribute 'copy'\n```\n\n**Right Sidebar:**\n\nAssignees\n- No one assigned\n\nLabels\n- 00 - Bug\n- 06 - Regression\n\nProjects\n- None yet\n\nMilestone\n- 1.24.0 release\n\nDevelopment\n- No branches or pull requests\n\n4 participants\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The request to find the date when the Regression label was added to the oldest closed numpy.polynomial issue has not been fully satisfied as we are still missing the exact date of label addition.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"We have moved forward by finding the specific issue on GitHub, but we are not in a repetitive loop.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"We have made progress by identifying the specific issue and viewing it on GitHub.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"We need to check the timeline of actions on the identified GitHub issue to find when the Regression label was added.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"We need to find the exact date when the '06 - Regression' label was added to the identified issue.\",\n    \"answer\": \"Please check the timeline of issue #22669 on the numpy GitHub repository to find the exact date when the '06 - Regression' label was added, and provide this information.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please check the timeline of issue #22669 on the numpy GitHub repository to find the exact date when the '06 - Regression' label was added, and provide this information.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I clicked the control.\n\nHere is a screenshot of [BUG: deep copying polybase broken · Issue #22669 · numpy/numpy · GitHub](https://github.com/numpy/numpy/issues/22669). The viewport shows 40% of the webpage, and is positioned at the top of the page.\nAutomatic OCR of the page screenshot has detected the following text:\n\nProduct\n\nSolutions\n\nResources\n\nOpen Source\n\nEnterprise\n\nPricing\n\nSearch or jump to...\n\nSign in\n\nSign up\n\nSponsor\n\nNotifications\n\nFork 10.3k\n\nStar 28.4k\n\nnumpy / numpy Public\n\nCode\n\nIssues 2k\n\nPull requests 191\n\nActions\n\nProjects 3\n\nWiki\n\nSecurity\n\nInsights\n\nBUG: deep copying polybase broken #22669\n\nClosed ncsaba opened this issue on Nov 24, 2022 · 1 comment\n\nncsaba commented on Nov 24, 2022 • edited\n\nDescribe the issue:\n\nThe issue is at line 502 in _polybase.py:\nret['symbol'] = self.symbol.copy()\n\nProblem is that self.symbol is a string and has no copy method. Instead should be assigned directly as it is immutable:\n\nret['symbol'] = self.symbol\n\nReproduce the code example:\n\n>>> from numpy.polynomial import Polynomial\n>>> x = Polynomial([1, 2, 3])\n>>> from copy import deepcopy\n>>> deepcopy(x)\n\nError message:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/usr/lib/python3.8/copy.py\", line 161, in deepcopy\n    y = reductor(4)\n  File \"/hdd/tmp/tempenvmy/lib/python3.8/site-packages/numpy/polynomial/_polybase.py\", line 502, in __getstate__\n    ret['symbol'] = self.symbol.copy()\nAttributeError: 'str' object has no attribute 'copy'\n\nCopy link\n\nAssignees\n\nNo one assigned\n\nLabels\n\n00 - Bug\n\n06 - Regression\n\nProjects\n\nNone yet\n\nMilestone\n\n1.24.0 release\n\nDevelopment\n\nNo branches or pull requests\n\n4 participants\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The Regression label date wasn't found since the necessary part of the issue timeline hasn't been examined and captured yet.\",\n    \"answer\": false\n  },\n  \"is_in_loop\": {\n    \"reason\": \"Due to re-visiting known places, but without crucial timeline detail for label fixing captured, there might be an indication of loop behavior.\",\n    \"answer\": true\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"The necessary GitHub issue was found, but forward step is stalled at label addition timeline detail access point.\",\n    \"answer\": false\n  },\n  \"next_speaker\": {\n    \"reason\": \"WebSurfer can navigate webpages, and needs a specific action priority directly tied to the issue timeline in question.\",\n    \"answer\": \"WebSurfer\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"To capture the exact relevant timeline data visible for the issue #22669.\",\n    \"answer\": \"Please scroll through and capture the timeline/activity feed area of the issue labeled '#22669' distinctly, to detail the exact date '06 - Regression' was added.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Please scroll through and capture the timeline/activity feed area of the issue labeled '#22669' distinctly, to detail the exact date '06 - Regression' was added.", "role": "Orchestrator (-> WebSurfer)"}, {"content": "Next speaker WebSurfer", "role": "Orchestrator (thought)"}, {"content": "I scrolled down one page in the browser.\n\nHere is a screenshot of [BUG: deep copying polybase broken · Issue #22669 · numpy/numpy · GitHub](https://github.com/numpy/numpy/issues/22669). The viewport shows 40% of the webpage, and is positioned 38% down from the top of the page.\nAutomatic OCR of the page screenshot has detected the following text:\n\nClosed\n\nBUG: deep copying polybase broken #22669\nncsaba opened this issue on Nov 24, 2022 · 1 comment\n\nNumPy/Python version information:\n\n1.24.0rc1 3.8.10 (default, Jun 22 2022, 20:18:18)\n[GCC 9.4.0]\n\nContext for the issue:\n\nEasy fix in the bug description.\n\nncsaba added the 00 - Bug label on Nov 24, 2022\n\nncsaba changed the title BUG: copying polybase broken BUG: deep copying polybase broken on Nov 24, 2022.\n\nMatteoRaso added a commit to MatteoRaso/numpy that referenced this issue on Nov 24, 2022\n  BUG: Polynomials now copy properly (numpy#22669) 3b9c49e\n\nseberg added the 06 - Regression label on Nov 24, 2022\n\nseberg added this to the 1.24.0 release milestone on Nov 24, 2022\n\nmattip added a commit that referenced this issue on Nov 27, 2022\n  Merge pull request #22670 from MatteoRaso/master Verified 343fae6\n\nMatteoRaso commented on Nov 28, 2022 Contributor\nBug has been fixed.\n\n👍 2\n<Image>", "role": "WebSurfer"}, {"content": "Updated Ledger:\n{\n  \"is_request_satisfied\": {\n    \"reason\": \"The exact date on which the '06 - Regression' label was added to the oldest closed numpy.polynomial issue (#22669) has been identified as November 24, 2022.\",\n    \"answer\": true\n  },\n  \"is_in_loop\": {\n    \"reason\": \"A specific answer has been achieved without repetition of identical actions.\",\n    \"answer\": false\n  },\n  \"is_progress_being_made\": {\n    \"reason\": \"All necessary details have been provided to answer the original question.\",\n    \"answer\": true\n  },\n  \"next_speaker\": {\n    \"reason\": \"No further action is needed as the request has been satisfied.\",\n    \"answer\": \"Assistant\"\n  },\n  \"instruction_or_question\": {\n    \"reason\": \"The original query has been successfully resolved and the necessary information has been supplied.\",\n    \"answer\": \"The '06 - Regression' label was added to the oldest closed numpy.polynomial issue (#22669) on November 24, 2022.\"\n  }\n}", "role": "Orchestrator (thought)"}, {"content": "Request satisfied.", "role": "Orchestrator (thought)"}, {"content": "No agent selected.\n  response = await client.create(messages)\nFINAL ANSWER: 11/24/22\nSCENARIO.PY COMPLETE !#!#\nRUN.SH COMPLETE !#!#", "role": "Orchestrator (termination condition)"}]

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