# ds1000 / 430 - 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 ``` # 430: DS-1000 Task ## Prompt Problem: Say, I have an array: import numpy as np a = np.array([0, 1, 2, 5, 6, 7, 8, 8, 8, 10, 29, 32, 45]) How can I calculate the 3rd standard deviation for it, so I could get the value of +3sigma ? What I want is a tuple containing the start and end of the 3rd standard deviation interval, i.e., (μ-3σ, μ+3σ).Thank you in advance. A: <code> import numpy as np example_a = np.array([0, 1, 2, 5, 6, 7, 8, 8, 8, 10, 29, 32, 45]) def f(a = example_a): # return the solution in this function # result = f(a) ### BEGIN SOLUTION ## 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