Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment

Knowledge Sources	Awesome-Inference-Time-Scaling
Domains	Infrastructure, Python_Scripting
Last Updated	2026-02-14 00:00 GMT

Overview

Python 3.x runtime environment with the requests library and standard library modules (argparse, re, datetime, subprocess) required to run the fetch_semantic_info.py automated paper fetcher.

Description

This environment provides the Python interpreter and package dependencies needed to execute the repository's single automation script, fetch_semantic_info.py. The script relies on one third-party package (requests for HTTP calls to the Semantic Scholar API) and several standard library modules for CLI parsing, regex processing, date handling, and subprocess execution. No GPU, special hardware, or containerized runtime is required.

Usage

Use this environment whenever running the Automated Paper Addition workflow. It is the mandatory prerequisite for the following implementations:

Config_Function (CLI argument parsing)
Search_Papers_Function (Semantic Scholar API search)
Get_Paper_Info_Function (paper detail retrieval)
Format_Paper_Info_Function (markdown entry formatting)
Write_To_Readme_In_Sorted_Order_Function (README merge, dedup, and sort)
Git_Commit_And_Push_Function (git subprocess automation)

System Requirements

Category	Requirement	Notes
OS	Any (Linux, macOS, Windows)	No OS-specific dependencies
Hardware	Standard CPU	No GPU or special hardware needed
Disk	Minimal (< 100MB)	Only the script, README.md, and Python packages

Dependencies

System Packages

python3 >= 3.6 (f-strings used throughout the script)
pip (Python package installer)

Python Packages

requests (third-party, no minimum version specified in the repository)

Standard Library Modules (included with Python)

argparse -- CLI argument parsing
re -- regular expression matching for title extraction and date parsing
datetime -- date parsing and comparison for chronological sorting
subprocess -- git command execution
time -- imported but currently unused (reserved for rate limiting)

Credentials

No credentials are required. The Semantic Scholar API endpoints used by this script are public and do not require authentication.

Quick Install

# Install the only third-party dependency
pip install requests

Code Evidence

Import statements from fetch_semantic_info.py:1-6:

import requests
import time
import argparse
import re
from datetime import datetime
import subprocess

The requests library is used for all API calls, e.g., fetch_semantic_info.py:25-26:

response = requests.get(url)
if response.status_code != 200:

F-strings are used throughout (requires Python 3.6+), e.g., fetch_semantic_info.py:24:

url = f"{BASE_URL}paper/search?query={query}&fields={FIELDS}&limit={limit}&sort=year"

Common Errors

Error Message	Cause	Solution
`ModuleNotFoundError: No module named 'requests'`	`requests` not installed	`pip install requests`
`SyntaxError: invalid syntax` (on f-strings)	Python version < 3.6	Upgrade to Python 3.6 or higher

Compatibility Notes

No version pinning: The repository does not include a requirements.txt, setup.py, or pyproject.toml. Any version of requests compatible with the Python version should work.
Cross-platform: The script uses only cross-platform Python features. The subprocess calls to git assume git is available on PATH (see the separate Git CLI Environment page).

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Principle

Implementation

Heuristic

Environment