# ds1000 / 140 - taskset: [ds1000](https://harnessreport.com/tasks/ds1000.md) - difficulty: - category: - language: - runnable from the site: no - agent timeout: 1800s ## Results by harness _none yet_ ## Instruction ``` # 140: DS-1000 Task ## Prompt Problem: I am performing a query on a DataFrame: Index Category 1 Foo 2 Bar 3 Cho 4 Foo I would like to return the rows where the category is not "Foo" or "Bar". When I use the code: df.query("Catergory!=['Foo','Bar']") This works fine and returns: Index Category 3 Cho However in future I will want the filter to be changed dynamically so I wrote: filter_list=['Foo','Bar'] df.query("Catergory!=filter_list") Which threw out the error: UndefinedVariableError: name 'filter_list' is not defined Other variations I tried with no success were: df.query("Catergory"!=filter_list) df.query("Catergory!="filter_list) Respectively producing: ValueError: expr must be a string to be evaluated, <class 'bool'> given SyntaxError: invalid syntax A: <code> import pandas as pd df=pd.DataFrame({"Category":['Foo','Bar','Cho','Foo'],'Index':[1,2,3,4]}) filter_list=['Foo','Bar'] </code> result = ... # put solution in this variable BEGIN SOLUTION <code> ## What to do - Edit `solution/solution.py` so the code passes the DS-1000 tests. - Do not access the internet or install new packages; required libraries are preinstalled in the Docker image. - Run tests locally via `bash tests/test.sh`. ## Notes - Keep the variable names/signatures implied by the prompt/code_context. - The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`). ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp