Vanessasaurus vsoch

## index.php
<?php
header('Content-type: text/xml');
/*
	Runs from a directory containing files to provide an
	RSS 2.0 feed that contains the list and modification times for all the
	files.

*/
$feedName = "My Audio Feed";
$feedDesc = "Feed for the my audio files in some server folder";

## decorators.py
from django.contrib.auth import REDIRECT_FIELD_NAME
from django.shortcuts import render, resolve_url
from myapp.settings import cfg
from myapp import settings
from urllib.parse import urlparse

import uuid


def login_is_required(

## main.go
package main

import (
	"fmt"
)

type Fruit struct {
	Name string
	Color	string
}

## latex-jekyll-site.yaml
name: generate-site

on:
  pull_request: []
  push:
    branches:
      - "main"

jobs:
  Update:

## Singularity
Bootstrap: docker
From: ubuntu:16.04

%runscript
    . /torch/install/bin/torch-activate
    exec /bin/bash


%labels
MAINTAINER vsochat@stanford.edu

## singularity-hub-badge.md

      
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                vsoch
                / singularity-hub-badge.md
            
            
              Created Apr 26, 2021
            
              
                How to generate the Singularity Hub Archive Badge!
              
          
      View singularity-hub-badge.md
  
      
## vcademy_mutual_information.m
% Mutual Information
% This shows why mutual information is important for registration, more-so
% than another metric like the least sum of squares.
% VSoch July 2013

% First, let's read in two pickle images that we want to register
% Note - this is a picture I found on google search, and I transformed it in
% photoshop by moving it down and right, and then CONTROL+I to get the inverse
pickle1 = imread('pickle1.png');
pickle2 = imread('pickle2.png');

## dinosaur.lp
% clingo dinosaur.lp
% These are blanket facts, statements that each of these is living
% I think these are called atoms
living(vanessa).
living(fernando).
living(maria).

% This tells use size of arms for each living thing
armsize(vanessa, "small").
armsize(fernando, "large").

## joblib_vs_pickle.py
from sklearn.externals import joblib
import time
import numpy
import pickle

bigarray = numpy.zeros([190,91,190])
bigarray = bigarray.flatten()


### Saving

## snakemake-debugging.sh
# This is a small script (that typically I copy paste) on a Google Cloud instance
# to set up an environment to mimic a worker. It includes installing snakemake,
# retrieving a package with the working directory (which typically has the
# version of snakemake I aim to develop or debug, and then interactively debugging
# or doing this.

sudo apt-get install -y wget bzip2 ca-certificates gnupg2 git
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
sudo chown -R $USER /opt
bash Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda
	<?php
	header('Content-type: text/xml');
	/*
	Runs from a directory containing files to provide an
	RSS 2.0 feed that contains the list and modification times for all the
	files.

	*/
	$feedName = "My Audio Feed";
	$feedDesc = "Feed for the my audio files in some server folder";
	from django.contrib.auth import REDIRECT_FIELD_NAME
	from django.shortcuts import render, resolve_url
	from myapp.settings import cfg
	from myapp import settings
	from urllib.parse import urlparse

	import uuid


	def login_is_required(
	package main

	import (
	"fmt"
	)

	type Fruit struct {
	Name string
	Color string
	}
	name: generate-site

	on:
	pull_request: []
	push:
	branches:
	- "main"

	jobs:
	Update:
	Bootstrap: docker
	From: ubuntu:16.04

	%runscript
	. /torch/install/bin/torch-activate
	exec /bin/bash


	%labels
	MAINTAINER vsochat@stanford.edu
	% Mutual Information
	% This shows why mutual information is important for registration, more-so
	% than another metric like the least sum of squares.
	% VSoch July 2013

	% First, let's read in two pickle images that we want to register
	% Note - this is a picture I found on google search, and I transformed it in
	% photoshop by moving it down and right, and then CONTROL+I to get the inverse
	pickle1 = imread('pickle1.png');
	pickle2 = imread('pickle2.png');
	% clingo dinosaur.lp
	% These are blanket facts, statements that each of these is living
	% I think these are called atoms
	living(vanessa).
	living(fernando).
	living(maria).

	% This tells use size of arms for each living thing
	armsize(vanessa, "small").
	armsize(fernando, "large").
	from sklearn.externals import joblib
	import time
	import numpy
	import pickle

	bigarray = numpy.zeros([190,91,190])
	bigarray = bigarray.flatten()


	### Saving
	# This is a small script (that typically I copy paste) on a Google Cloud instance
	# to set up an environment to mimic a worker. It includes installing snakemake,
	# retrieving a package with the working directory (which typically has the
	# version of snakemake I aim to develop or debug, and then interactively debugging
	# or doing this.

	sudo apt-get install -y wget bzip2 ca-certificates gnupg2 git
	wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
	sudo chown -R $USER /opt
	bash Miniconda3-latest-Linux-x86_64.sh -b -p /opt/conda