collections
Starlark module for working with collections library.
This module implements specialized container datatypes providing alternatives to Python's general purpose built-in containers, dict, list, set, and tuple.
Similar to collections in Python.
collections.after_each(separator, iterable)
Inserts separator after each item in iterable.
Parameters:
separator - the value to insert after each item in iterable.
iterable - the list into which to intersperse the separator.
Returns: a new list with separator after each item in iterable.
collections.before_each(separator, iterable)
Inserts separator before each item in iterable.
Parameters:
separator - the value to insert before each item in iterable.
iterable - the list into which to intersperse the separator.
Returns: a new list with separator before each item in iterable.
collections.namedtuple(typename, field_names, rename=False, defaults=None, module=None)
Returns: a new subclass of tuple with named fields.
Examples:
Point = namedtuple('Point', ['x', 'y'])
Point.__doc__ # docstring for the new class
'Point(x, y)'
p = Point(11, y=22) # instantiate with positional args or keywords
p[0] + p[1] # indexable like a plain tuple
33
x, y = p # unpack like a regular tuple
x, y
(11, 22)
p.x + p.y # fields also accessible by name
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d = p._asdict() # convert to a dictionary
d['x']
11
Point(**d) # convert from a dictionary
Point(x=11, y=22)
p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)collections.uniq(iterable)
Returns: a list of unique elements in iterable. Requires all the elements to be hashable.
Parameters:
iterable – an iterable to filter.
Returns: a new list with all unique elements from iterable.
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