Matthew Bernhardt matt-bernhardt

## yellow-machine-46ccee.lua
-- Bundled by luabundle {"rootModuleName":"Yellow Machine.46ccee.lua","version":"1.6.0"}
local __bundle_require, __bundle_loaded, __bundle_register, __bundle_modules = (function(superRequire)
	local loadingPlaceholder = {[{}] = true}

	local register
	local modules = {}

	local require
	local loaded = {}

## forms.min.css
.wpcf7 fieldset{margin-top:1.5rem;margin-bottom:1.5rem;border:1px solid #ccc;padding:1rem 1.5rem;width:75%}.wpcf7 .wpcf7-text,.wpcf7 .wpcf7-email,.wpcf7 .wpcf7-textarea{background-color:#fff;color:#000;font-size:14px}.wpcf7 .wpcf7-submit{-webkit-appearance:none;transition:background-color 0.25s, border 0.25s;border:1px solid #338bc5;border-radius:3px;padding:5px 10px;background-color:#338bc5;background-image:none;font-size:1rem;color:#fff;margin-top:10px}.wpcf7 legend{padding:0 1rem;font-size:0.9rem;color:#595959;text-transform:uppercase;width:auto}.wpcf7 .button-primary.green,.wpcf7 .wrap-outer-header-local .green.action-auth{border:1px solid #3b815d;background-color:#43926a;margin:0;max-width:15rem}.wpcf7 .button-primary.green:focus,.wpcf7 .wrap-outer-header-local .green.action-auth:focus,.wpcf7 .button-primary.green:hover,.wpcf7 .wrap-outer-header-local .green.action-auth:hover{background-color:#2ea76a;border-color:#43926a}.wpcf7 .wpcf7-list-item{display:block}.loading-container{display:block;width:100%;he

## year-over-year-ppg.csv

          
            ID
            Team
            Year1
            Pts1
            GP1
            PPG1
            Playoffs1
            Playoffs1Int
            Year2
            Pts2
            GP2
            PPG2
            Playoffs2
            Playoffs2Int

            
              1
              Colorado Rapids
              1996
              29
              32
              0.9063
              Did Not Qualify
              0
              1997
              38
              32
              1.1875
              Finalist
              4

            
              2
              Columbus Crew
              1996
              37
              32
              1.1563
              Quarterfinalist
              2
              1997
              39
              32
              1.2188
              Semifinalist
              3

            
              3
              D.C. United
              1996
              46
              32
              1.4375
              Champion
              5
              1997
              55
              32
              1.7188
              Champion
              5

            
              4
              FC Dallas
              1996
              41
              32
              1.2813
              Quarterfinalist
              2
              1997
              42
              32
              1.3125
              Semifinalist
              3

            
              5
              Los Angeles Galaxy
              1996
              49
              32
              1.5313
              Finalist
              4
              1997
              44
              32
              1.375
              Quarterfinalist
              2

            
              6
              New England Revolution
              1996
              33
              32
              1.0313
              Did Not Qualify
              0
              1997
              37
              32
              1.1563
              Quarterfinalist
              2

            
              7
              New York Red Bulls
              1996
              39
              32
              1.2188
              Quarterfinalist
              2
              1997
              35
              32
              1.0938
              Did Not Qualify
              0

            
              8
              San Jose Earthquakes
              1996
              39
              32
              1.2188
              Quarterfinalist
              2
              1997
              30
              32
              0.9375
              Did Not Qualify
              0

            
              9
              Sporting Kansas City
              1996
              41
              32
              1.2813
              Semifinalist
              3
              1997
              49
              32
              1.5313
              Quarterfinalist
              2

## 4lda-notes-only.py
from __future__ import absolute_import
import csv
from time import time
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction import text
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.decomposition import LatentDirichletAllocation

# This attempts to perform LDA on the text of the notes from ArchivesSpace.

## README.md

      
              2 files
            
          
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                matt-bernhardt
                / README.md
            
            
              Last active
              October 22, 2019 15:12
            
              
                This has been migrated to https://github.com/MITLibraries/vvv-custom
              
          
      View README.md
  
      
    This content has been migrated to https://github.com/MITLibraries/vvv-custom
This should allow you to get a rudimentary copy of the MIT Libraries' WordPress network running under your VVV box.
Defining the network


Clone https://github.com/Varying-Vagrant-Vagrants/VVV
**Do not run vagrant up yet


Clone vvv-custom.yml into the vagrant root from this repository (as a sibling to vvv-config.yml)


## attendance.ipynb

      
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                matt-bernhardt
                / attendance.ipynb
            
            
              Created
              March 26, 2019 21:27
            
          
      View attendance.ipynb
  
    
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## mitlib-content-model.php
<?php
/**
 * Plugin Name: MITlib Content Model
 *
 * @package mitlib-content-model
 * @version 0.0.1
 */

/**
 * Register content types

## README.md

      
              6 files
            
          
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              0 stars
            
          
                matt-bernhardt
                / README.md
            
            
              Last active
              February 15, 2018 03:05
            
              
                Columbus Attendance Changes In Context
              
          
      View README.md
  
      
    This is an attempt to build a visualization of organic attendance growth by the Columbus Crew over various time periods during their 21-year history.
For more information about this plot, please reach out to me on Twitter at @BernhardtSoccer.

  
## model170501.py
import copy
import database
from log import Log
from output import Output
import numpy as np


def calculatePPG(data):
    # This expects data in a form of
    # {'MIN': {'Points': 8.0, 'PPG': 0.8888888888888888, 'GP': 9.0}, 'TOR': {'Points': 16.0, 'PPG': 1.7777777777777777, 'GP': 9.0}}

## extractor.vbs
Option Explicit

' #############################################################
' #
' # Define Objects and Variables
' #

Dim oFSO
Dim LogFile
Dim strPath
	-- Bundled by luabundle {"rootModuleName":"Yellow Machine.46ccee.lua","version":"1.6.0"}
	local __bundle_require, __bundle_loaded, __bundle_register, __bundle_modules = (function(superRequire)
	local loadingPlaceholder = {[{}] = true}

	local register
	local modules = {}

	local require
	local loaded = {}
ID	Team	Year1	Pts1	GP1	PPG1	Playoffs1	Playoffs1Int	Year2	Pts2	GP2	PPG2	Playoffs2	Playoffs2Int
1	Colorado Rapids	1996	29	32	0.9063	Did Not Qualify	0	1997	38	32	1.1875	Finalist	4
2	Columbus Crew	1996	37	32	1.1563	Quarterfinalist	2	1997	39	32	1.2188	Semifinalist	3
3	D.C. United	1996	46	32	1.4375	Champion	5	1997	55	32	1.7188	Champion	5
4	FC Dallas	1996	41	32	1.2813	Quarterfinalist	2	1997	42	32	1.3125	Semifinalist	3
5	Los Angeles Galaxy	1996	49	32	1.5313	Finalist	4	1997	44	32	1.375	Quarterfinalist	2
6	New England Revolution	1996	33	32	1.0313	Did Not Qualify	0	1997	37	32	1.1563	Quarterfinalist	2
7	New York Red Bulls	1996	39	32	1.2188	Quarterfinalist	2	1997	35	32	1.0938	Did Not Qualify	0
8	San Jose Earthquakes	1996	39	32	1.2188	Quarterfinalist	2	1997	30	32	0.9375	Did Not Qualify	0
9	Sporting Kansas City	1996	41	32	1.2813	Semifinalist	3	1997	49	32	1.5313	Quarterfinalist	2
	from __future__ import absolute_import
	import csv
	from time import time
	from sklearn.model_selection import train_test_split
	from sklearn.feature_extraction import text
	from sklearn.feature_extraction.text import CountVectorizer
	from sklearn.decomposition import LatentDirichletAllocation

	# This attempts to perform LDA on the text of the notes from ArchivesSpace.
	<?php
	/**
	* Plugin Name: MITlib Content Model
	*
	* @package mitlib-content-model
	* @version 0.0.1
	*/

	/**
	* Register content types
	import copy
	import database
	from log import Log
	from output import Output
	import numpy as np


	def calculatePPG(data):
	# This expects data in a form of
	# {'MIN': {'Points': 8.0, 'PPG': 0.8888888888888888, 'GP': 9.0}, 'TOR': {'Points': 16.0, 'PPG': 1.7777777777777777, 'GP': 9.0}}
	Option Explicit

	' #############################################################
	' #
	' # Define Objects and Variables
	' #

	Dim oFSO
	Dim LogFile
	Dim strPath