# usaco / 89 - taskset: [usaco](https://harnessreport.com/tasks/usaco.md) - difficulty: medium - category: python_programming - language: - runnable from the site: no - agent timeout: 600s ## Results by harness _none yet_ ## Instruction ``` Please implement a Python 3 solution to the below problem. Reason through the problem and: 1. Restate the problem in plain English 2. Conceptualize a solution first in plain English 3. Write a pseudocode solution 4. Save your solution as solution.py No outside libraries are allowed. [BEGIN PROBLEM] Problem 2: Cow Lineup [Brian Dean] Farmer John has hired a professional photographer to take a picture of some of his cows. Since FJ's cows represent a variety of different breeds, he would like the photo to contain at least one cow from each distinct breed present in his herd. FJ's N cows are all standing at various positions along a line, each described by an integer position (i.e., its x coordinate) as well as an integer breed ID. FJ plans to take a photograph of a contiguous range of cows along the line. The cost of this photograph is equal its size -- that is, the difference between the maximum and minimum x coordinates of the cows in the range of the photograph. Please help FJ by computing the minimum cost of a photograph in which there is at least one cow of each distinct breed appearing in FJ's herd. PROBLEM NAME: lineup INPUT FORMAT: * Line 1: The number of cows, N (1 <= N <= 50,000). * Lines 2..1+N: Each line contains two space-separated positive integers specifying the x coordinate and breed ID of a single cow. Both numbers are at most 1 billion. SAMPLE INPUT: 6 25 7 26 1 15 1 22 3 20 1 30 1 INPUT DETAILS: There are 6 cows, at positions 25,26,15,22,20,30, with respective breed IDs 7,1,1,3,1,1. OUTPUT FORMAT: * Line 1: The smallest cost of a photograph containing each distinct breed ID. SAMPLE OUTPUT: 4 OUTPUT DETAILS: The range from x=22 up through x=26 (of total size 4) contains each of the distinct breed IDs 1, 3, and 7 represented in FJ's herd. [END PROBLEM] ``` --- 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