A library for lazy evaluation with context caching
Project description
lazily
A Python library for lazy evaluation with context caching.
Installation
pip install lazily
Example usage
from lazily import CellSlot, cell, slot
# Cells hold a value that can be updated.
name = CellSlot[dict, dict, str]()
# Slots are functions that depend on cells and other slots.
@slot
def greeting(ctx: dict) -> str:
print("Calculating greeting...")
return f"Hello, {name(ctx).value}!"
# A CellSlot can also have a default value.
@cell
def response(ctx: dict) -> str:
return "How are you?"
@slot
def greeting_and_response(ctx: dict) -> str:
print("Calculating greeting_and_response...")
return f"{greeting(ctx)} {response(ctx).value}"
ctx = {}
name(ctx).value = "World"
# First access: runs the function
print(greeting(ctx))
# Calculating greeting...
# 'Hello, World!'
# Second access: uses cache (no print)
print(greeting(ctx))
# 'Hello, World!'
# Dependencies also access cached values
print(greeting_and_response(ctx))
# Calculating greeting_and_response...
# 'Hello, World! How are you?'
# Dependencies also cached
print(greeting_and_response(ctx))
# 'Hello, World! How are you?'
# Update cell: invalidates cache
name(ctx).value = "Lazily"
# Access again: re-runs the function
print(greeting_and_response(ctx))
# Calculating greeting_and_response...
# Calculating greeting...
# 'Hello, Lazily! How are you?'
# Another access: uses cache
print(greeting_and_response(ctx))
# 'Hello, Lazily! How are you?'
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