althonos

from imports import imports

@imports("torch.cuda")
def is_cuda_available():
    return torch.cuda.is_available()

althonos

import sklearn
import fisher

class SelectPValueUnderThreshold(sklearn.base.TransformerMixin):
    """Select features with Fisher p-value under a certain threshold.
    """

    def __init__(self, threshold=1.0):
        self.threshold = threshold
        self.features_ = None

althonos

# coding: utf-8
from __future__ import unicode_literals
from __future__ import print_function

import io
import ftplib
import posixpath


ftp = ftplib.FTP("ftp.ebi.ac.uk")

althonos

# https://gist.github.com/althonos/6914b896789d3f2078d1e6237642c35c

[metadata]
name = {name}
version = file: {name}/_version.txt
author = Martin Larralde
author_email = martin.larralde@embl.de
url = https://github.com/althonos/{name}
description = {description}
long_description = file: README.md

althonos

# coding: utf-8
"""Test doctest contained tests in every file of the module.
"""

import configparser
import doctest
import importlib
import json
import gzip
import os