{"task": {"agent_timeout": 3000, "task": "pandas-dev__pandas-53421", "verifier_timeout": 6000, "instruction": "BUG: numpy.timedelta64[M] not properly raising in pandas.Timedelta in 2.0.0\n### Pandas version checks\n\n- [X] I have checked that this issue has not already been reported.\n\n- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.\n\n- [ ] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/getting_started/install.html#installing-the-development-version-of-pandas) of pandas.\n\n\n### Reproducible Example\n\n```python\nimport pandas as pd\nimport numpy as np\n\nIn [1]: pd.Timedelta(np.timedelta64(1, \"M\"))\nOut[1]: Timedelta('31 days 00:00:00')\n\nIn [2]: np.timedelta64(1, \"M\").astype('timedelta64[D]')\nOut[2]: numpy.timedelta64(30,'D')\n```\n\n\n### Issue Description\n\nA numpy `numpy.timedelta64(1,'M')` is converted by `pandas.Timedelta` as an interval of 31 days.\n\n### Expected Behavior\n\nIt should be converted to an interval of 30 days.\n\nIn pandas 1.5.x it was converted to `Timedelta('30 days 10:29:06')`\n\n### Installed Versions\n\n<details>\n\nINSTALLED VERSIONS\n------------------\ncommit           : 478d340667831908b5b4bf09a2787a11a14560c9\npython           : 3.11.1.final.0\npython-bits      : 64\nOS               : Darwin\nOS-release       : 22.4.0\nVersion          : Darwin Kernel Version 22.4.0: Mon Mar  6 20:59:28 PST 2023; root:xnu-8796.101.5~3/RELEASE_ARM64_T6000\nmachine          : arm64\nprocessor        : arm\nbyteorder        : little\nLC_ALL           : None\nLANG             : None\nLOCALE           : None.UTF-8\n\npandas           : 2.0.0\nnumpy            : 1.24.2\npytz             : 2023.3\ndateutil         : 2.8.2\nsetuptools       : 65.5.0\npip              : 22.3.1\nCython           : None\npytest           : None\nhypothesis       : None\nsphinx           : None\nblosc            : None\nfeather          : None\nxlsxwriter       : None\nlxml.etree       : None\nhtml5lib         : None\npymysql          : None\npsycopg2         : None\njinja2           : None\nIPython          : 8.12.0\npandas_datareader: None\nbs4              : None\nbottleneck       : None\nbrotli           : None\nfastparquet      : None\nfsspec           : None\ngcsfs            : None\nmatplotlib       : None\nnumba            : None\nnumexpr          : None\nodfpy            : None\nopenpyxl         : None\npandas_gbq       : None\npyarrow          : None\npyreadstat       : None\npyxlsb           : None\ns3fs             : None\nscipy            : None\nsnappy           : None\nsqlalchemy       : None\ntables           : None\ntabulate         : None\nxarray           : None\nxlrd             : None\nzstandard        : None\ntzdata           : 2023.3\nqtpy             : None\npyqt5            : None\n</details>\n", "memory": "8192m", "runnable": false, "difficulty": "hard", "language": "", "cpus": 1, "instruction_truncated": false, "category": "debugging", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "swegym", "tags": ["debugging", "swe-bench"]}, "runs": []}