# ds1000 / 425 - 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 ``` # 425: DS-1000 Task ## Prompt Problem: I have integers in the range 0..2**m - 1 and I would like to convert them to binary numpy arrays of length m. For example, say m = 4. Now 15 = 1111 in binary and so the output should be (1,1,1,1). 2 = 10 in binary and so the output should be (0,0,1,0). If m were 3 then 2 should be converted to (0,1,0). I tried np.unpackbits(np.uint8(num)) but that doesn't give an array of the right length. For example, np.unpackbits(np.uint8(15)) Out[5]: array([0, 0, 0, 0, 1, 1, 1, 1], dtype=uint8) I would like a method that worked for whatever m I have in the code. Given an n-element integer array, I want to process it as above to generate a (n, m) matrix. A: <code> import numpy as np a = np.array([1, 2, 3, 4, 5]) m = 8 </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