neotheicebird

How to manually setup flake8 as PyCharm external tool

File / Settings / Tools / External Tools / Add
Name: Flake8
Program: $PyInterpreterDirectory$/python
Parameters: -m flake8 --max-complexity 10 --ignore E501 $FilePath$
Working directory: $ProjectFileDir$

Output Filters / Add
Name: Filter 1

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# Ref: https://github.com/ericjang/genadv_tutorial/blob/master/genadv1.ipynb
learning_rate = tf.train.exponential_decay(
        0.001,                # Base learning rate.
        batch,                # Current index into the dataset.
        TRAIN_ITERS // 4,     # Decay step - this decays 4 times throughout training process.
        0.95,                 # Decay rate.
        staircase=True)

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def get_from_json_dict(json_dict, keys, default_dict=None):
    
    for index, key in enumerate(keys):
        if isinstance(json_dict, dict) and isinstance(key, str):   # check if you have a `dict` and `str` in hand
            # get item of the key from json_dict, if key is Bad, get item from default_dict, or get None
            json_dict = json_dict.get(key, default_dict[key] if default_dict else None)    
            if default_dict:
                default_dict = default_dict[key]    # reducing default dict
            continue
        if isinstance(json_dict, list) and isinstance(key, int):   # check if you have a `list` and `int` in hand

neotheicebird

# get only the first element
checkout_curse = reduce(lambda curses_dict, key: dict.get(key), [curses_dict, "curses", "names", 0])

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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-11-01T17:33:15.254949",
     "start_time": "2016-11-01T17:33:12.700730"
    },

neotheicebird

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neotheicebird

import pickle    # pickle is py2 equivalent of cPickle
# if a Py2 cPickle object shows UnicodeError in Py3
with open(picklefile, 'rb') as f
    d = pickle.load(f, encoding='latin1') 

neotheicebird

import requests

url = "http://www.matthewzeiler.com/pubs/arxive2013/eccv2014.pdf"
r = requests.get(url)

pdffile = r.url.split('/')[-1]
with open(pdffile, 'wb') as pdf:
  pdf.write(r.content)