Source code for MDAnalysisData.CG_fiber

# -*- coding: utf-8 -*-

"""Coarse-grained molecular dynamics of an amphiphilic fiber.

from os.path import dirname, exists, join
from os import makedirs, remove

import logging

from .base import get_data_home
from .base import _fetch_remote, _read_description
from .base import RemoteFileMetadata
from .base import Bunch

NAME = "CG_fiber"
DESCRIPTION = "CG_fiber.rst"
# The original data can be found at the figshare URL.
# The SHA256 checksum of the zip file changes with every download so we
# cannot check its checksum. Instead we download individual files.
# separately. The keys of this dict are also going to be the keys in the
# Bunch that is returned.
    'topology': RemoteFileMetadata(
    'trajectory':  RemoteFileMetadata(

logger = logging.getLogger(__name__)

[docs]def fetch_CG_fiber(data_home=None, download_if_missing=True): """Load the CG fiber self-assembly trajectory Parameters ---------- data_home : optional, default: None Specify another download and cache folder for the datasets. By default all MDAnalysisData data is stored in '~/MDAnalysis_data' subfolders. This dataset is stored in ``<data_home>/CG_fiber``. download_if_missing : optional, default=True If ``False``, raise a :exc:`IOError` if the data is not locally available instead of trying to download the data from the source site. Returns ------- dataset : dict-like object with the following attributes: dataset.topology : filename Filename of the topology file dataset.trajectory : filename Filename of the trajectory file dataset.DESCR : string Description of the trajectory. See :ref:`CG_fiber-dataset` for description. """ name = NAME data_location = join(get_data_home(data_home=data_home), name) if not exists(data_location): makedirs(data_location) records = Bunch() for file_type, meta in ARCHIVE.items(): local_path = join(data_location, meta.filename) records[file_type] = local_path if not exists(local_path): if not download_if_missing: raise IOError("Data {0}={1} not found and `download_if_missing` is " "False".format(file_type, local_path))"Downloading {0}: {1} -> {2}...".format( file_type, meta.url, local_path)) archive_path = _fetch_remote(meta, dirname=data_location) records.DESCR = _read_description(DESCRIPTION) return records