# devopsgym / codegen__minio__minio-14546

- taskset: [devopsgym](https://harnessreport.com/tasks/devopsgym.md)
- difficulty: hard
- category: code-generation
- language: 
- runnable from the site: no
- agent timeout: 3000s

## Results by harness

_none yet_

## Instruction

```
This is a code generation task. You are expected to write working code that solves the described problem.
<issue>
      This was generally intuition, with select operations taking far longer than an equivalent call to s3. I then searched this repo, and couldn't find any instances of ScanRange, the param that s3 uses. It's also not mentioned in the docs, where other discussion of supported features lives.

## Expected Behavior
Given a call from Python such as:
```
response = self.s3_client.select_object_content(
                    Bucket=bucket,
                    Key=key,
                    ExpressionType='SQL',
                    Expression=f"select * from s3object s where s.pk = 'pk'",
                    InputSerialization={'CSV': {'FileHeaderInfo': 'Use', 'FieldDelimiter': '|'}},
                    OutputSerialization={'JSON': {}},
                    ScanRange={
                        'Start': 0,
                        'End': 1000
                    }
                )
```
I expect the call to return fairly quickly, even if the underlying file is several gigs

## Current Behavior
A call similar to that one (with python and minio running in docker) takes 16 seconds.

## Your Environment
* Version used (`minio --version`): docker minio/minio:RELEASE.2021-09-15T04-54-25Z

</issue>
Focus on implementing the required functionality correctly and efficiently. Treat this as a programming challenge.
You are not allowed to read git history.
```
---
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
