# ds1000 / 362 - 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 ``` # 362: DS-1000 Task ## Prompt Problem: >>> arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) >>> del_col = [1, 2, 4, 5] >>> arr array([[ 1, 2, 3, 4], [ 5, 6, 7, 8], [ 9, 10, 11, 12]]) I am deleting some columns(in this example, 1st, 2nd and 4th) def_col = np.array([1, 2, 4, 5]) array([[ 3], [ 7], [ 11]]) Note that del_col might contain out-of-bound indices, so we should ignore them. Are there any good way ? Please consider this to be a novice question. A: <code> import numpy as np a = np.arange(12).reshape(3, 4) del_col = np.array([1, 2, 4, 5]) </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