Advanced Usage
Method Chaining
Chainable patterns for concise data transformations.
Get familiar and learn how to code faster with UniCoreFW.
from unicorefw import _
# Chaining example
result = (_([1, 2, 3, 4, 5])
.map(lambda x: x * 2)
.filter(lambda x: x > 5)
.value())
print(f"Chained result: {result}") # Output: [6, 8, 10]
# Static method example
template = "Name: <%= name %>, Age: <%= age %>"
context = {"name": "Alice", "age": 25}
print(f"Template result: {_.template(template, context)}")
# Output: "Name: Alice, Age: 25"
# Multiple operations example
data = [
{"name": "Alice", "age": 25, "active": True},
{"name": "Bob", "age": 30, "active": False},
{"name": "Charlie", "age": 35, "active": True}
]
active_names = (_(data)
.filter(lambda x: x.get("active", False))
.pluck("name")
.value())
print(f"Active users: {active_names}") # Output: ['Alice', 'Charlie']
# Demonstrate static vs chained methods
array = [1, 2, 3, 4, 5]
print(f"Static map: {_.map(array, lambda x: x * 3)}")
print(f"Chained map: {_(array).map(lambda x: x * 3).value()}")