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This is how to use the Black Python code formatter in VS Code.

Make a Python 3.6 virtualenv for running Black

Black itself requires Python 3.6 to run, but few of our projects are on that version. The VS Code plugin conveniently lets you run black from its own virtualenv.

I had to give a specific version of black this morning. I didn't yesterday. Don't specify the version unless it makes you (and if you do, give the current version, not the one from this doc).

$ cd ~/Envs

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$ git remote rm origin
$ git remote add origin git@github.com:aplikacjainfo/proj1.git
$ git config master.remote origin
$ git config master.merge refs/heads/master

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import pandas as pd

def _map_to_pandas(rdds):
    """ Needs to be here due to pickling issues """
    return [pd.DataFrame(list(rdds))]

def toPandas(df, n_partitions=None):
    """
    Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is
    repartitioned if `n_partitions` is passed.

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import os
import json

import numpy
import tensorflow

from tensorflow.python.estimator.export.export import build_raw_serving_input_receiver_fn
print("Tensorflow version: {0}".format(tensorflow.VERSION))

os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'

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from pyspark.sql.functions import udf
from pyspark.sql.types import BooleanType

def regex_filter(x):
    regexs = ['.*ALLYOURBASEBELONGTOUS.*']
    
    if x and x.strip():
        for r in regexs:
            if re.match(r, x, re.IGNORECASE):
                return True

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#  Copyright 2017 Uber Technologies, Inc. All Rights Reserved.
#  Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software

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from PIL import Image, ImageChops

def trim(im, border):
  bg = Image.new(im.mode, im.size, border)
  diff = ImageChops.difference(im, bg)
  bbox = diff.getbbox()
  if bbox:
    return im.crop(bbox)

def create_thumbnail(path, size):

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// by dave @ beesandbombs.tumblr.com >:)

void setup() {
  setup_();
  result = new int[width*height][3];
  result_ = new int[width*height][3];
}

int[][] result, result_;
float time;