Benjamin Bengfort bbengfort

## .gitconfig
[core]
	editor = mvim -f
	ui = true
	excludesfile = /Users/benjamin/.gitignore
[user]
	name = Benjamin Bengfort
	email = benjamin@bengfort.com
[diff]
	external = /Users/benjamin/bin/godiff.sh
[credential]

## maxbound.py
#!/usr/bin/env python

import time

def search_steps(Z, factor=10, verbose=True):
    """
    Finds the number you're looking for.
    """

    # Initialize internal variables

## postgres_bakup.sh
#!/bin/bash

USER=$PGUSER
HOST=$PGHOST
NAME=$PGDATABASE
BUCKET="s3://cobrainabsolem/datadumps/productdb/"

main() {
    if [ "$#" == "0" ]; then
        echo "Please supply a filename for the dump"

## baby_search.py
#!/usr/bin/env python
# baby_search
# Executes regular expression queries on CPS
#
# Author:   Benjamin Bengfort <benjamin@bengfort.com>
# Created:  Mon Mar 03 09:56:09 2014 -0500
# Requires: psycopg2
#
# ID: baby_search.py [] benjamin@bengfort.com $

## buckets.sql
select
	round(100.0 * (SUM(CASE WHEN probability > 0.95 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_95,
	round(100.0 * (SUM(CASE WHEN probability > 0.90 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_90,
	round(100.0 * (SUM(CASE WHEN probability > 0.85 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_85,
	round(100.0 * (SUM(CASE WHEN probability > 0.80 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_80,
	round(100.0 * (SUM(CASE WHEN probability > 0.75 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_75,
	round(100.0 * (SUM(CASE WHEN probability > 0.70 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_70,
	round(100.0 * (SUM(CASE WHEN probability > 0.65 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_65,
	round(100.0 * (SUM(CASE WHEN probability > 0.60 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_60
from annotated_products;

## cloze_analyze.py
#!/usr/bin/env python

import os
import sys
import nltk
import argparse
import unicodecsv as csv
from operator import itemgetter

PATH = os.path.normpath(os.path.join(os.path.dirname(__file__), 'cloze_output.txt'))

## calories.csv

          
            Food
            Measure
            Weight (g)
            kCal
            Fat (g)
            Carbo(g)
            Protein (g)

            
              Source:USDA Nutrient Database for Standard Reference
              Release 12
              Pocket v1.1
              www.nal.usda.gov/fnic/foodcomp

            
              1000 Island,Salad Drsng,Local
              1 Tbsp
              15
              25
              2
              2
              0

            
              1000 Island,Salad Drsng,Reglr
              1 Tbsp
              16
              60
              6
              2
              0

            
              40% Bran Flakes,Kellogg's
              1 oz
              28.35
              90
              1
              22
              4

            
              40% Bran Flakes,Post
              1 oz
              28.35
              90
              0
              22
              3

            
              Alfalfa Seeds,Sprouted,Raw
              1 Cup
              33
              10
              0
              1
              1

            
              All-Bran Cereal
              1 oz
              28.35
              70
              1
              21
              4

            
              Almonds,Slivered
              1 Cup
              135
              795
              70
              28
              27

            
              Almonds,Whole
              1 oz
              28.35
              165
              15
              6
              6

## cpsexport.sh
mongoexport --db cps --collection products --journal | gzip -9 > fixtures/products.json.gz

## redfox.sql
SELECT product.id, product.name, product.description,
       coalesce(product.image, product.affiliate_image, product.thumbnail, product.affiliate_thumbnail) as image,
       product.gender, product.age, category.name as original_category,
       '' as label, '' as probability, '' as sublabel, '' as subprobability,
       product.created, product.updated
    FROM product
    LEFT JOIN category on category.id = product.category_id
    --LIMIT 10
;

## storemongo
#!/bin/bash

# Dumps the Mongo Database and exports it to S3
# Make sure to run this script in the background! (nohup)

WORKING_DIRECTORY="/mnt/vol-604be929/tmp/data"

if [ ! -d "$WORKING_DIRECTORY" ]; then
    mkdir -p $WORKING_DIRECTORY
fi
	[core]
	editor = mvim -f
	ui = true
	excludesfile = /Users/benjamin/.gitignore
	[user]
	name = Benjamin Bengfort
	email = benjamin@bengfort.com
	[diff]
	external = /Users/benjamin/bin/godiff.sh
	[credential]
	#!/usr/bin/env python

	import time

	def search_steps(Z, factor=10, verbose=True):
	"""
	Finds the number you're looking for.
	"""

	# Initialize internal variables
	#!/bin/bash

	USER=$PGUSER
	HOST=$PGHOST
	NAME=$PGDATABASE
	BUCKET="s3://cobrainabsolem/datadumps/productdb/"

	main() {
	if [ "$#" == "0" ]; then
	echo "Please supply a filename for the dump"
	#!/usr/bin/env python
	# baby_search
	# Executes regular expression queries on CPS
	#
	# Author: Benjamin Bengfort <benjamin@bengfort.com>
	# Created: Mon Mar 03 09:56:09 2014 -0500
	# Requires: psycopg2
	#
	# ID: baby_search.py [] benjamin@bengfort.com $
	select
	round(100.0 * (SUM(CASE WHEN probability > 0.95 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_95,
	round(100.0 * (SUM(CASE WHEN probability > 0.90 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_90,
	round(100.0 * (SUM(CASE WHEN probability > 0.85 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_85,
	round(100.0 * (SUM(CASE WHEN probability > 0.80 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_80,
	round(100.0 * (SUM(CASE WHEN probability > 0.75 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_75,
	round(100.0 * (SUM(CASE WHEN probability > 0.70 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_70,
	round(100.0 * (SUM(CASE WHEN probability > 0.65 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_65,
	round(100.0 * (SUM(CASE WHEN probability > 0.60 THEN 1 ELSE 0 END) / count(id)::float)::numeric, 3) as pcnt_60
	from annotated_products;
	#!/usr/bin/env python

	import os
	import sys
	import nltk
	import argparse
	import unicodecsv as csv
	from operator import itemgetter

	PATH = os.path.normpath(os.path.join(os.path.dirname(__file__), 'cloze_output.txt'))
Food	Measure	Weight (g)	kCal	Fat (g)	Carbo(g)	Protein (g)
Source:USDA Nutrient Database for Standard Reference	Release 12	Pocket v1.1	www.nal.usda.gov/fnic/foodcomp
1000 Island,Salad Drsng,Local	1 Tbsp	15	25	2	2	0
1000 Island,Salad Drsng,Reglr	1 Tbsp	16	60	6	2	0
40% Bran Flakes,Kellogg's	1 oz	28.35	90	1	22	4
40% Bran Flakes,Post	1 oz	28.35	90	0	22	3
Alfalfa Seeds,Sprouted,Raw	1 Cup	33	10	0	1	1
All-Bran Cereal	1 oz	28.35	70	1	21	4
Almonds,Slivered	1 Cup	135	795	70	28	27
Almonds,Whole	1 oz	28.35	165	15	6	6
	SELECT product.id, product.name, product.description,
	coalesce(product.image, product.affiliate_image, product.thumbnail, product.affiliate_thumbnail) as image,
	product.gender, product.age, category.name as original_category,
	'' as label, '' as probability, '' as sublabel, '' as subprobability,
	product.created, product.updated
	FROM product
	LEFT JOIN category on category.id = product.category_id
	--LIMIT 10
	;
	#!/bin/bash

	# Dumps the Mongo Database and exports it to S3
	# Make sure to run this script in the background! (nohup)

	WORKING_DIRECTORY="/mnt/vol-604be929/tmp/data"

	if [ ! -d "$WORKING_DIRECTORY" ]; then
	mkdir -p $WORKING_DIRECTORY
	fi