Yuvi Panda yuvipanda

## namedvectors.py
class NamedVector(object):
    def __init__(self, array, names):
        for i in xrange(len(names)):
            self.__dict__[names[i]] = array[i] if i < len(array) else None


f = NamedVector([1, 4], ("hi", "ho", "ee"))
print f.hi, f.ho, f.ee

f = NamedVector([1, 4, 99], ("hi", "ho", "ee"))

## gist:e8464240f1b3ab228568
<html dir="ltr" class="content-ltr ui-ltr"><head>
    <base href="https://wikipedia.org"> <!-- Force links to resolve with https as protocol, rather than file:// -->
    <script src="file:///android_asset/bundle.js"></script>

    <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes, minimum-scale=0.25, maximum-scale=1.6">
<link rel="stylesheet" type="text/css" href="file:///android_asset/styles.css"></head>
<body>
<div id="content" class="content"><h1 id="heading_0" class="section_heading" data-id="0"><i>Derfflinger</i>-class battlecruiser<a data-id="0" data-action="edit_section" class="edit_section_button"></a></h1><div id="#content_block_0">
<p>The <b><i>Derfflinger</i> class</b> was a <a href="/wiki/Ship_class" title="Ship class">class</a> of three <a href="/wiki/Battlecruiser" title="Battlecruiser">battlecruisers</a> (German: <span lang="de" xml:lang="de"><i>Schlachtkreuzer</i></span>) of the <a href="/wiki/Imperial_German_Navy" title="Imperial German Navy">Imperial Ger

## gist:bbe2a1317d15dc1d1094
<html dir="ltr" class="content-ltr ui-ltr">
    <head>
        <base href="https://wikipedia.org">
        <!-- Force links to resolve with https as protocol, rather than file:// -->
        <script src="file:///android_asset/bundle.js"></script>
        <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes, minimum-scale=0.25, maximum-scale=1.6">
        <link rel="stylesheet" type="text/css" href="file:///android_asset/styles.css">
    </head>
    <body>
        <div id="content" class="content">

## query.py
from sqlalchemy import Column, Integer, ForeignKey, String, DateTime, desc
from sqlalchemy.orm import relationship, joinedload
from base import Base
from user import User  # noqa


class Query(Base):
    __tablename__ = 'query'

    id = Column(Integer, primary_key=True)

## gist:08e06376ddb98f21a8c4
# Configuration file for jupyterhub.

c = get_config()

#------------------------------------------------------------------------------
# JupyterHub configuration
#------------------------------------------------------------------------------

# An Application for starting a Multi-User Jupyter Notebook server.

## data.bash
# No caching at all
~/c/ores-stress $ python3.4 /tmp/test.py 'data/tools-static.wmflabs.org/lolrrit-wm/1/*.out'
inflights
mean 1.756802902571764
median 1
pstdev 2.4299546779621792
latency
mean 1724.702838648917
median 838.930203
pstdev 2159.033094872801

## wordcount.py
text = raw_input("Enter a text ")
textsplit = text.split()
count = len(textsplit)
print "The word count is = " + str(count)

## projecteuler_prob_3.py
a=600851475143
i=2

while i<a :
    if a%i==0:
        a1=a/i
    else :
        i+=1
        continue
    n=2

## gist:249008
dsfsdf

## gist:249207
past = 0
cur = 1
next = 1

sum = 0

while next < 4000000:
    next = cur + past
    past = cur
    cur = next
	class NamedVector(object):
	def __init__(self, array, names):
	for i in xrange(len(names)):
	self.__dict__[names[i]] = array[i] if i < len(array) else None


	f = NamedVector([1, 4], ("hi", "ho", "ee"))
	print f.hi, f.ho, f.ee

	f = NamedVector([1, 4, 99], ("hi", "ho", "ee"))
	<html dir="ltr" class="content-ltr ui-ltr"><head>
	<base href="https://wikipedia.org"> <!-- Force links to resolve with https as protocol, rather than file:// -->
	<script src="file:///android_asset/bundle.js"></script>

	<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes, minimum-scale=0.25, maximum-scale=1.6">
	<link rel="stylesheet" type="text/css" href="file:///android_asset/styles.css"></head>
	<body>
	<div id="content" class="content"><h1 id="heading_0" class="section_heading" data-id="0"><i>Derfflinger</i>-class battlecruiser<a data-id="0" data-action="edit_section" class="edit_section_button"></a></h1><div id="#content_block_0">
	<p>The <b><i>Derfflinger</i> class</b> was a <a href="/wiki/Ship_class" title="Ship class">class</a> of three <a href="/wiki/Battlecruiser" title="Battlecruiser">battlecruisers</a> (German: <span lang="de" xml:lang="de"><i>Schlachtkreuzer</i></span>) of the <a href="/wiki/Imperial_German_Navy" title="Imperial German Navy">Imperial Ger
	<html dir="ltr" class="content-ltr ui-ltr">
	<head>
	<base href="https://wikipedia.org">
	<!-- Force links to resolve with https as protocol, rather than file:// -->
	<script src="file:///android_asset/bundle.js"></script>
	<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes, minimum-scale=0.25, maximum-scale=1.6">
	<link rel="stylesheet" type="text/css" href="file:///android_asset/styles.css">
	</head>
	<body>
	<div id="content" class="content">
	from sqlalchemy import Column, Integer, ForeignKey, String, DateTime, desc
	from sqlalchemy.orm import relationship, joinedload
	from base import Base
	from user import User # noqa


	class Query(Base):
	__tablename__ = 'query'

	id = Column(Integer, primary_key=True)
	# Configuration file for jupyterhub.

	c = get_config()

	#------------------------------------------------------------------------------
	# JupyterHub configuration
	#------------------------------------------------------------------------------

	# An Application for starting a Multi-User Jupyter Notebook server.
	# No caching at all
	~/c/ores-stress $ python3.4 /tmp/test.py 'data/tools-static.wmflabs.org/lolrrit-wm/1/*.out'
	inflights
	mean 1.756802902571764
	median 1
	pstdev 2.4299546779621792
	latency
	mean 1724.702838648917
	median 838.930203
	pstdev 2159.033094872801
	text = raw_input("Enter a text ")
	textsplit = text.split()
	count = len(textsplit)
	print "The word count is = " + str(count)
	a=600851475143
	i=2

	while i<a :
	if a%i==0:
	a1=a/i
	else :
	i+=1
	continue
	n=2
	past = 0
	cur = 1
	next = 1

	sum = 0

	while next < 4000000:
	next = cur + past
	past = cur
	cur = next