Skip to main content

A lazy-loading, fancy-sliceable iterable.

Project description

Slicerator

a lazy-loading, fancy-slicable iterable

Think of it like a generator that is "reusable" and has a length.

Please see the documentation for examples and an API reference.

build status Documentation Status

Installation

On any platform, use pip or conda.

pip install slicerator

or

conda install -c conda-forge slicerator

Example

from slicerator import Slicerator

@Slicerator.from_class
class MyLazyLoader:
    def __getitem__(self, i):
        # this method will be wrapped by Slicerator, so that it accepts slices,
        # lists of integers, or boolean masks. Code below will only be executed
        # when an integer is used.

        # load thing number i
        return thing

    def __len__(self):
        # do stuff
        return number_of_things


# Demo:
>>> a = MyLazyLoader()
>>> s1 = a[::2]  # no data is loaded yet
>>> s2 = s1[1:]  # no data is loaded yet
>>> some_data = s2[0]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

slicerator-1.1.0.tar.gz (38.3 kB view hashes)

Uploaded source

Built Distribution

slicerator-1.1.0-py3-none-any.whl (10.3 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page