# ds1000 / 391 - 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 ``` # 391: DS-1000 Task ## Prompt Problem: I have an array : a = np.array([[ 0, 1, 2, 3, 5, 6, 7, 8], [ 4, 5, 6, 7, 5, 3, 2, 5], [ 8, 9, 10, 11, 4, 5, 3, 5]]) I want to extract array by its columns in RANGE, if I want to take column in range 1 until 5, It will return a = np.array([[ 1, 2, 3, 5, ], [ 5, 6, 7, 5, ], [ 9, 10, 11, 4, ]]) How to solve it? Thanks A: <code> import numpy as np a = np.array([[ 0, 1, 2, 3, 5, 6, 7, 8], [ 4, 5, 6, 7, 5, 3, 2, 5], [ 8, 9, 10, 11, 4, 5, 3, 5]]) low = 1 high = 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