# ds1000 / 500 - 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 ``` # 500: DS-1000 Task ## Prompt Problem: In order to get a numpy array from a list I make the following: Suppose n = 12 np.array([i for i in range(0, n)]) And get: array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) Then I would like to make a (4,3) matrix from this array: np.array([i for i in range(0, 12)]).reshape(4, 3) and I get the following matrix: array([[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11]]) But if I know that I will have 3 * n elements in the initial list how can I reshape my numpy array, because the following code np.array([i for i in range(0,12)]).reshape(a.shape[0]/3,3) Results in the error TypeError: 'float' object cannot be interpreted as an integer A: <code> import numpy as np a = np.arange(12) </code> a = ... # 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