ashishrana160796

from PIL import Image
import numpy as np

# call with pil_transform('test.jpg')
def pil_transform(image_str):
    
    # padding process started
    im_opn = Image.open(image_str)
    old_sz = im_opn.size
    new_sz = (old_sz[0]+30, old_sz[1]+30)

ashishrana160796

'''
NAC 3-D Plot Code
'''


# import statements
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter

ashishrana160796

# Best way to run copy and paste portions into an ipython3 shell

# 1. Import Statements
import operator
from os import listdir
from os.path import isfile, join


# 2. Select files with matching tiff extensions.
import re

Sathishruw

import gym
from gym import wrappers
import numpy as np

env = gym.make("FrozenLake-v0")
env = wrappers.Monitor(env, "./results", force=True)

Q = np.zeros([env.observation_space.n, env.action_space.n])
n_s_a = np.zeros([env.observation_space.n, env.action_space.n])

ashishrana160796

JAVADOC CHEATSHEET

Introduction

The major important thing is the documentation has to be implementation independent and specification concise. Dependencies where ever necessary are allowed to be specified.
Also it is allows HTML tags to be used in between the documentation comments. Pretty much all tags are self explanatory.

Meta Annotations
@author  Ex: @author Jane Doe
@version  Ex: @version v1.0-alpha

rkwitt

class UCSD(Dataset):
    """UCSD pedestrian counting data."""

    def __init__(self, data_dir, annotation_dir, transform=None):

        self.file_list = []
        self.file_cnts = []
        
        files = glob.glob(
            os.path.join(