[Python]The import utilities in Python Standard Library

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### Python LRU Cache Package Information In the context of Python, an LRU (Least Recently Used) cache is a type of memory management technique that discards the least recently used items first when the cache reaches its limit. The `functools` module within Python provides utilities for working with callable objects and functions; it includes support for creating decorators from simpler components as well as tools like `@lru_cache()` decorator which can be applied to any function or method. The implementation detail about where exactly this functionality resides depends on the version of Python being utilized. For instance, in older versions such as Python 2.6, one might find relevant code at File `/usr/lib/python2.6/site-packages/django/utils/lru_cache.py`, line 28[^1]. However, starting from Python 3.2 onwards, built-in support was added directly into the standard library via the `functools.lru_cache`. Here's how to use the `lru_cache`: ```python from functools import lru_cache @lru_cache(maxsize=128) def get_data(key): # Simulate data fetching operation here. pass ``` This example demonstrates decorating a simple function named `get_data`. By applying the `@lru_cache` decorator above the definition, each unique call will only execute once per process lifetime after which subsequent calls return cached results without re-execution until either the maximum size (`maxsize`) has been reached causing eviction based upon usage frequency or explicit invalidation occurs through other means provided by the API. For users who wish to work specifically with Django framework under legacy environments like Python 2.x series including but not limited to Python 2.7.3, installing third-party libraries becomes necessary since native caching mechanisms may lack advanced features found later. Installing packages like NumPy requires using pip toolchain appropriately configured against target environment specifications outlined previously [^2]. When facing challenges related to locating compatible binaries especially precompiled wheels (.whl files), alternative sources must sometimes serve as fallback options due to official repositories potentially discontinuing support over time. One notable community-driven archive exists offering historical builds maintained outside mainstream channels accessible online [^3].
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