prithajnath

from collections import deque


def expand_cluster(D, labels, point_idx, neighbors, cluster_id, eps, min_pts):
    queue = deque(neighbors)
    labels[point_idx] = cluster_id

    while queue:
        current_point = queue.popleft()
        if labels[current_point] == -1:  # previously marked as noise

prithajnath

from random import choice

features_raw = """
Length of bio INT
Number of emoji in bio INT
Number of hashtags in first post INT
Number of hashtags in bio INT
Has mentions in first post Boolean
Has mentions in bio Boolean
“Has URL in first post” Boolean

prithajnath

# python3 my_secret_santa_last_year.py --number_of_users=10

from faker import Faker
from uuid import uuid4
import itertools
import argparse

fake = Faker()

prithajnath

CREATE TABLE IF NOT EXISTS "auth_group" ("id" integer NOT NULL PRIMARY KEY AUTOINCREMENT, "name" varchar(150) NOT NULL UNIQUE);
CREATE UNIQUE INDEX "auth_group_permissions_group_id_permission_id_0cd325b0_uniq" ON "auth_group_permissions" ("group_id", "permission_id");
CREATE INDEX IF NOT EXISTS "auth_group_permissions_group_id_b120cbf9" ON "auth_group_permissions" ("group_id");
CREATE INDEX IF NOT EXISTS "auth_group_permissions_permission_id_84c5c92e" ON "auth_group_permissions" ("permission_id");
CREATE UNIQUE INDEX "auth_user_groups_user_id_group_id_94350c0c_uniq" ON "auth_user_groups" ("user_id", "group_id");
CREATE INDEX IF NOT EXISTS "auth_user_groups_user_id_6a12ed8b" ON "auth_user_groups" ("user_id");
CREATE INDEX IF NOT EXISTS "auth_user_groups_group_id_97559544" ON "auth_user_groups" ("group_id");
CREATE UNIQUE INDEX "auth_user_user_permissions_user_id_permission_id_14a6b632_uniq" ON "auth_user_user_permissions" ("user_id", "permission_id");
CREATE INDEX IF NOT EXISTS "auth_user_user_permissions_user

prithajnath

import math
import sys
from datetime import datetime

cases_til_date = int(sys.stdin.read())
first_us_case_date = datetime.strptime("01-19-20", "%m-%d-%y")
today = datetime.now()

# Using 2 as base
num_of_doubled = math.log(cases_til_date, 2)

prithajnath

pairs = {")":"(","}":"{","]":"["}
stack = []
x = raw_input()
balanced = True
for i in x:
  if i in pairs.values():
    stack.append(i)
  else:
    top = stack.pop()
    if top == pairs[i]:

prithajnath

var j = JSON.parse('{"currentRow":-1,"rows":[[{"name":"sys_created_by","value":"admin"},{"name":"sys_created_on","value":"2017-06-02 17:47:50"},{"name":"sys_id","value":"e6f247eedb433200f93cddd0cf961923"},{"name":"sys_mod_count","value":"2"},{"name":"sys_updated_by","value":"admin"},{"name":"sys_updated_on","value":"2017-06-05 14:34:30"},{"name":"u_asset","value":"false"},{"name":"u_category","value":"Hardware"},{"name":"u_change","value":"false"},{"name":"u_customer_case","value":"false"},{"name":"u_hr_case","value":"false"},{"name":"u_incident","value":"true"},{"name":"u_problem","value":"false"},{"name":"u_subcategory","value":"CPU,GPU"},{"name":"u_task","value":"false"}]],"conditions":[{"name":"u_category","oper":"=","value":"Hardware"}],"encodedQuery":"","orderByFields":[],"orderByDescFields":[],"displayFields":[],"maxQuerySize":-1,"_wantSessionMessages":true,"tableName":"u_table_category"}');
var my_array = j['rows'][0];
var cpu;
for(var i=0;i<my_array.length;i++){
  if(my_array[i]['value']==="CPU,GPU")

prithajnath

#!/bin/python

import sys


n = int(raw_input().strip())
for a0 in xrange(n):
    grade = int(raw_input().strip())
    # your code goes here
    if grade < 100 and grade >= 38:

prithajnath

def replaceWord(sentence,word):
    words = sentence.split()
    for i in range(len(words)):
        if word == words[i]:
            words[i] = "".join(['-' for _ in range(len(word))])
            break
    return " ".join(words)
            
def replaceMultiWords(sentence,words):
    new_str = sentence

prithajnath

#!/bin/python

import sys
from collections import Counter

n = int(raw_input().strip())
a = map(int,raw_input().strip().split(' '))
max_num = -1
freq = Counter(a)
new_arr = freq.keys()