JK jerinisready

## twitter_avg_post_length.py
# HBASE Database Design Here : https://github.com/jerinisready/Kafka-Twittter-Streaming
from __future__ import print_function
import json
import happybase
# from happybase import connection as Connection
## START bin/hbase rest start -p <port>


## VARS
LISTENING_TOPIC = 'myWorld'

## someone_likes_this.py
"""
QUESTION
Let 'a' be the list of users who likes a post! I want to get displayed as below

eg 1 :-       a = []
Output :      Nobody likes This

eg 2 :-       a = ['Alice']
Output :      Alice likes This

## indexes.sql
# VIEW INDEXES applied on database.
select schemaname, tablename, indexname, indexdef from pg_indexes WHERE schemaname='public';


# Create superuser for postgres on linux shell with postgres user.
user@ubuntu$ sudo su postgres
user@ubuntu$ createuser --interactive --pwprompt root
> Enter password for new role: ********
> Enter it again: ********
> Shall the new role be a superuser? (y/n) y

## iris.py
from sklearn.datasets import load_iris
from sklearn import tree
import numpy as np
import csv
#
# TODO : This Commented code will run with dataset predefined in sklearn.datasets
#
# iris = load_iris()
# # print (iris.feature_names )
# # print (iris.target_names)

## distance_between_points.py
from math import sin, cos, radians, acos
def calculate_distance(lat_a, long_a, lat_b, long_b, in_miles=True):
    """all angles in degrees, default result in miles"""
    lat_a = radians(lat_a)
    lat_b = radians(lat_b)
    delta_long = radians(long_a - long_b)
    cos_x = (
        sin(lat_a) * sin(lat_b) +
        cos(lat_a) * cos(lat_b) * cos(delta_long)
        )

## html_error_messages.js
    function set_custom_error_message(data) {
        var elements= $(data[0]);
        var message = data[1];
        for (var i = 0; i < elements.length; i++) {
            var my_element = elements[i];
            my_element.oninvalid = function(e) {
                e.target.setCustomValidity("");
                if (!e.target.validity.valid) {
                    e.target.setCustomValidity(message);
                }

## fetch_live_tweets.py

class A:
    KEY = 'u5NeFqa------------tZ2UM'
    SECRET = 'WgWtW3tL_--------------------------IlKD5GTHCfTjrLBsrC'
    TOKEN = '1495931731-r----------------------------kjpfcMAjXxk'
    TOKEN_SECRET = 'Im24KQ------------------------------fMJyK'


api_keys = A()

## s3boto3_overrided_storage.py
from django.utils.encoding import filepath_to_uri
from storages.backends.s3boto3 import S3Boto3Storage


class CustomStorage(S3Boto3Storage):

    def path(self, name):
        return filepath_to_uri(name)


## trim_input_onchange.html
<script>

function trim(el){
    el.value = el.value.
       replace (/(^\s*)|(\s*$)/gi, ""). // removes leading and trailing spaces
       replace (/[ ]{2,}/gi," ").       // replaces multiple spaces with one space
       replace (/\n +/,"\n");           // Removes spaces after newlines
    return true;
}
</script>

## django_image_store_as_blob_in_models.py
class imageStorageAsThumpnail(models.Model)
    image = models.ImageField(_("Image"), upload_to='chapter_images')
    _thumbnail = models.TextField(
        db_column='thumbnail',
        blank=True)

    def set_thumbnail(self, data):
        self._data = base64.b64encode(data)

    def get_thumbnail(self):
	# HBASE Database Design Here : https://github.com/jerinisready/Kafka-Twittter-Streaming
	from __future__ import print_function
	import json
	import happybase
	# from happybase import connection as Connection
	## START bin/hbase rest start -p <port>


	## VARS
	LISTENING_TOPIC = 'myWorld'
	"""
	QUESTION
	Let 'a' be the list of users who likes a post! I want to get displayed as below

	eg 1 :- a = []
	Output : Nobody likes This

	eg 2 :- a = ['Alice']
	Output : Alice likes This
	# VIEW INDEXES applied on database.
	select schemaname, tablename, indexname, indexdef from pg_indexes WHERE schemaname='public';


	# Create superuser for postgres on linux shell with postgres user.
	user@ubuntu$ sudo su postgres
	user@ubuntu$ createuser --interactive --pwprompt root
	> Enter password for new role: ********
	> Enter it again: ********
	> Shall the new role be a superuser? (y/n) y
	from sklearn.datasets import load_iris
	from sklearn import tree
	import numpy as np
	import csv
	#
	# TODO : This Commented code will run with dataset predefined in sklearn.datasets
	#
	# iris = load_iris()
	# # print (iris.feature_names )
	# # print (iris.target_names)
	from math import sin, cos, radians, acos
	def calculate_distance(lat_a, long_a, lat_b, long_b, in_miles=True):
	"""all angles in degrees, default result in miles"""
	lat_a = radians(lat_a)
	lat_b = radians(lat_b)
	delta_long = radians(long_a - long_b)
	cos_x = (
	sin(lat_a) * sin(lat_b) +
	cos(lat_a) * cos(lat_b) * cos(delta_long)
	)
	function set_custom_error_message(data) {
	var elements= $(data[0]);
	var message = data[1];
	for (var i = 0; i < elements.length; i++) {
	var my_element = elements[i];
	my_element.oninvalid = function(e) {
	e.target.setCustomValidity("");
	if (!e.target.validity.valid) {
	e.target.setCustomValidity(message);
	}

	class A:
	KEY = 'u5NeFqa------------tZ2UM'
	SECRET = 'WgWtW3tL_--------------------------IlKD5GTHCfTjrLBsrC'
	TOKEN = '1495931731-r----------------------------kjpfcMAjXxk'
	TOKEN_SECRET = 'Im24KQ------------------------------fMJyK'


	api_keys = A()
	from django.utils.encoding import filepath_to_uri
	from storages.backends.s3boto3 import S3Boto3Storage


	class CustomStorage(S3Boto3Storage):

	def path(self, name):
	return filepath_to_uri(name)
	<script>

	function trim(el){
	el.value = el.value.
	replace (/(^\s)\|(\s$)/gi, ""). // removes leading and trailing spaces
	replace (/[ ]{2,}/gi," "). // replaces multiple spaces with one space
	replace (/\n +/,"\n"); // Removes spaces after newlines
	return true;
	}
	</script>
	class imageStorageAsThumpnail(models.Model)
	image = models.ImageField(_("Image"), upload_to='chapter_images')
	_thumbnail = models.TextField(
	db_column='thumbnail',
	blank=True)

	def set_thumbnail(self, data):
	self._data = base64.b64encode(data)

	def get_thumbnail(self):