line 1974, in __init__\n    deprecation_with_replacement("PdfFileReader", "PdfReader", "3.0.0")\n  File "/venv/lib/python3.10/site-packages/PyPDF2/_utils.py", line 369, in deprecation_with_replacement\n    deprecation(DEPR_MSG_HAPPENED.format(old_name, removed_in, new_name))\n  File "/venv/lib/python3.10/site-packages/PyPDF2/_utils.py", line 351, in deprecation\n    raise DeprecationError(msg)\nPyPDF2.errors.DeprecationError: PdfFileReader is deprecated and was removed in PyPDF2 3.0.0. Use PdfReader instead.\n', 'fileLinks': [], 'exitCode': 1}    Invoking: `bearly_interpreter` with `{'python_code': "from PyPDF2 import PdfReader\n\n# Open the PDF file\npdf = PdfReader('Bristol.pdf')\n\n# Get the text from page 3\npage = pdf.pages[2]\npage_text = page.extract_text()\n\nprint(page_text)"}`            {'stdout': '1 COVID-19 at Work: \nExposing h ow risk is assessed and its consequences in England and Sweden \nPeter Andersson and Tonia Novitz* \n1.Introduction\nT\nhe crisis which arose suddenly at the beginning of 2020 relating to coronavirus was immediately \ncentred on risk. Predictions ha d to be made swiftly regarding how it would spread, who it might \naffect and what measures could be taken to prevent exposure in everyday so cial interaction, \nincluding in the workplace. This was in no way a straightforward assessment, because initially so \nmuch was unknown. Those gaps in our knowledge have since, partially, been ameliorated. It is \nevident that not all those exposed to COVID-19 become ill, and many who contract the virus remain \nasymptomatic, so that the odds on becoming seriously ill may seem small. But those odds are also stacked against certain segments of the population. The likelihood of mortality and morbidity are associated  with age and ethnicity as well as pre -existing medical conditions (such as diabetes), but \nalso with poverty which correlates to the extent of exposure in certain occupations.\n1 Some risks \narise which remain  less predictable,
Bearly Code Interpreter allows for remote execution of code. This makes it perfect for a code sandbox for agents, to allow for safe implementation of things like Code Interpreter
Bearly Code Interpreter allows for remote execution of code. This makes it perfect for a code sandbox for agents, to allow for safe implementation of things like Code Interpreter ->: line 1974, in __init__\n    deprecation_with_replacement("PdfFileReader", "PdfReader", "3.0.0")\n  File "/venv/lib/python3.10/site-packages/PyPDF2/_utils.py", line 369, in deprecation_with_replacement\n    deprecation(DEPR_MSG_HAPPENED.format(old_name, removed_in, new_name))\n  File "/venv/lib/python3.10/site-packages/PyPDF2/_utils.py", line 351, in deprecation\n    raise DeprecationError(msg)\nPyPDF2.errors.DeprecationError: PdfFileReader is deprecated and was removed in PyPDF2 3.0.0. Use PdfReader instead.\n', 'fileLinks': [], 'exitCode': 1}    Invoking: `bearly_interpreter` with `{'python_code': "from PyPDF2 import PdfReader\n\n# Open the PDF file\npdf = PdfReader('Bristol.pdf')\n\n# Get the text from page 3\npage = pdf.pages[2]\npage_text = page.extract_text()\n\nprint(page_text)"}`            {'stdout': '1 COVID-19 at Work: \nExposing h ow risk is assessed and its consequences in England and Sweden \nPeter Andersson and Tonia Novitz* \n1.Introduction\nT\nhe crisis which arose suddenly at the beginning of 2020 relating to coronavirus was immediately \ncentred on risk. Predictions ha d to be made swiftly regarding how it would spread, who it might \naffect and what measures could be taken to prevent exposure in everyday so cial interaction, \nincluding in the workplace. This was in no way a straightforward assessment, because initially so \nmuch was unknown. Those gaps in our knowledge have since, partially, been ameliorated. It is \nevident that not all those exposed to COVID-19 become ill, and many who contract the virus remain \nasymptomatic, so that the odds on becoming seriously ill may seem small. But those odds are also stacked against certain segments of the population. The likelihood of mortality and morbidity are associated  with age and ethnicity as well as pre -existing medical conditions (such as diabetes), but \nalso with poverty which correlates to the extent of exposure in certain occupations.\n1 Some risks \narise which remain  less predictable,