CMCDragonkai

import pytest
from pathlib import Path


@pytest.fixture(scope='session')
def project_root(pytestconfig):
    return Path(pytestconfig.rootdir)

CMCDragonkai

import numpy as np

# you can calculate the variance of the population based variance of each subpopulation
# the population variance is the sum of the "between group variance" and the "within group variance"
# divided by the total number of samples

groups = [np.array([1,2,3,4]), np.array([5,6])]
pop_mean = (1 + 2 + 3 + 4 + 5 + 6) / 6
pop_var = (
    sum([group.size * ((group.mean() - pop_mean)**2) for group in groups]) + \

CMCDragonkai

import os
import itertools
import numpy as np
import keras.utils as utils
from pathlib import Path
from mnist import MNIST


def chunk_gen(size, iterable):
    it = iter(iterable)

CMCDragonkai

#!/usr/bin/env sh

dot ./graph.gv -Tpng | feh -

CMCDragonkai

import hashlib
from urllib.request import urlopen
from urllib.error import HTTPError

file_url = 'https://somefile'
file_path = 'somefile'
sha256_hash = '751baea102ae63f0990607883ff819cfe18276d5116605673c5ff7e42e34e945'

hash = hashlib.sha256()
response = urlopen(file_url)

CMCDragonkai

import pytest


@pytest.fixture(scope='session')
def api_client(api_environment):
    from YOURFLASKMODULE import app
    # switch on testing mode to propagate exceptions from within the app
    app.testing = True
    # this is needed when testing to allow url_for URL generation
    app.config['SERVER_NAME'] = 'localhost'

CMCDragonkai

Using GPG Agent

Try running echo UPDATESTARTUPTTY | gpg-connect-agent.

CMCDragonkai

Install fonts on Linux

Copy font files like .otf and .ttf into ~/.local/share/fonts.

Run:

fc-cache
fc-list -v | grep FONTNAME

CMCDragonkai

Embedded Databases or Database Libraries

1. SQLite
2. TileDB
3. Irmin
4. RocksDB
5. LMDB

What about a blockchain DB library that

CMCDragonkai

import random

# stream shuffling can be done if the output stream has random read/write
# we use the fisher yates shuffling algorithm

input_list = [1,2,3,4,5]

output_list = []

for (i, v) in enumerate(input_list):