james4388

# http://code.activestate.com/recipes/576930-efficient-running-median-using-an-indexable-skipli/
# Updated to run with python

from random import random
from math import log, ceil

class Node(object):
    __slots__ = 'value', 'next', 'width'
    def __init__(self, value, next, width):
        self.value, self.next, self.width = value, next, width

james4388

class DisjointSet(object):
    roots = None
    ranks = None
    count = 0

    def __init__(self, size):
        # Each node is parent of itself
        self.roots = list(range(size))
        self.ranks = [0] * size
        self.count = size

james4388

import string
import random

base_case = [
    [(0, 1), (1, 1), (1, 0)],   # 0, Top Left
    [(0, 0), (1, 0), (1, 1)],   # 1, Top Right
    [(0, 0), (0, 1), (1, 1)],   # 2, Bottom Left
    [(0, 1), (0, 0), (1, 0)]    # 3, Bottom Right
]

james4388

"""Least frequency cache implementation using nested DoublyLinkedList and dictionary 
Use bucket of frequency count B[1] contain all Item(key, value) with frequency 1

DEMO ONLY do not use in prod

Example
B[1]        B[5]     B[6]
I[1, 1]     I[4, 4]  I[5, 5]
I[2, 2]
I[3, 3]

james4388

def rotate(mat: List, clockwise: bool=True) -> None:
  """ Rotate matrix inplace but look like it still use extra memory. run on C """
  if clockwise:
    mat[:] = map(list, zip(*mat[::-1]))
  else:
    mat[:] = map(list, list(zip(*mat))[::-1])
  return mat
    
    
def rotate(mat: List, clockwise: bool = True) -> None:

james4388

from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor

def task_runner(opts):
    if isinstance(opts, (list, tuple)):
        num_opts = len(opts)
        args = None
        kwargs = None
        if num_opts == 2:
            fn, args = opts
        elif num_opts == 3:

james4388

import math
from cStringIO import StringIO


class Heap(object):
    '''                                       index from parent
                        0                     0
                1               2             0*2+1=1  0*2+2=2
            3       4       5       6         1*2+1=3  1*2+2=4 2*2+1=5 2*2+1=6
        7      8 9    10 11   12  13  14      3*2+1=7

james4388

db.getCollection('article').aggregate([
    {$match: {$or: [
        {"view.sections.parts.embed.provider_name": {$in: ['Commerce Product', 'Image With Hotspots', 'Commerce Product Group']}},
        {"view.sections.steps.parts.embed.provider_name": {$in: ['Commerce Product', 'Image With Hotspots', 'Commerce Product Group']}}
    ]}},
    {$project: {_id: 1}
])

db.getCollection('article').aggregate([
    {$match: {$or: [

james4388

function csvBlob(rows, export_bom) {
    const BOM = '\ufeff';   // Utf-8 Bytes order mark
    return new Blob([(export_bom ? BOM : '') + rows.map(function(row) {
        return row.map(function(col) {
            return ['"', col.replace(/"/gi, '""'), '"'].join('');
        }).join(',')
    }).join('\n')], {type: 'text/csv;charset=utf-8;'});
}

const blob = csvBlob(temp1);

james4388

from __future__ import print_function
from sys import getsizeof, stderr
from itertools import chain
from collections import deque
try:
    from reprlib import repr
except ImportError:
    pass

def total_size(o, handlers={}, verbose=False):