404
-Page not found
-Page not found
-The ndi.cache module provides a simple in-memory cache for storing data.
Cache classThe Cache class is used to create a new cache object.
__init__(self, maxMemory=10e9, replacement_rule='fifo')Creates a new cache object.
-maxMemory: The maximum amount of memory (in bytes) that the cache can use.replacement_rule: The replacement rule to use when the cache is full. Can be 'fifo', 'lifo', or 'error'.add(self, key, type, data, priority=0)Adds an item to the cache.
-key: The key for the item.type: The type of the item.data: The data to be cached.priority: The priority of the item (higher priority items are less likely to be evicted).lookup(self, key, type)Looks up an item in the cache.
-key: The key for the item.type: The type of the item.Returns the cached item, or None if the item is not found.
This is the documentation for the Python port of the VH-Lab/NDI-matlab project.
-NDI-python is a Python library for interacting with the Neuroscience Data Interface (NDI). It provides a set of tools for managing and analyzing neuroscience data.
-To install the package, you can use pip:
-pip install .
-import ndi
-