Morteza Ansarinia morteza

## build-protege5-app-bundle
#!/bin/bash

# Copy this into extracted `protege/` directory and execute in Terminal. Done!
# `Protege.app` will be available in the parent directory.

CURRENT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

PROTEGE_DIR=$CURRENT_DIR

cd $PROTEGE_DIR

## weighted_random.scala
// This is a fairly ugly solution; in a hurry and didn't spend much time on it.

import scala.util.Random

case class WeightedItem[T](item: T, weight: Double)

val items = Seq(WeightedItem("Red", 1d/6), WeightedItem("Blue", 2d/6),
    WeightedItem("Green", 3d/6) )

def weightedSelection[T](

## fibs.scala
val fibs = 0 #:: fibs.scan(1)(_ + _)
fibs take 5 toList

## coords2labels.py
# %%
# A basic funtion to convert MNI coords (x,y,z) to harvard oxford "labels" using spherical masking.
# input:
#   - list of coords of size N*3
# output:
#   - list of labels of size N


import numpy as np
from nilearn import datasets
	#!/bin/bash

	# Copy this into extracted `protege/` directory and execute in Terminal. Done!
	# `Protege.app` will be available in the parent directory.

	CURRENT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"

	PROTEGE_DIR=$CURRENT_DIR

	cd $PROTEGE_DIR
	// This is a fairly ugly solution; in a hurry and didn't spend much time on it.

	import scala.util.Random

	case class WeightedItem[T](item: T, weight: Double)

	val items = Seq(WeightedItem("Red", 1d/6), WeightedItem("Blue", 2d/6),
	WeightedItem("Green", 3d/6) )

	def weightedSelection[T](
	# %%
	# A basic funtion to convert MNI coords (x,y,z) to harvard oxford "labels" using spherical masking.
	# input:
	# - list of coords of size N*3
	# output:
	# - list of labels of size N


	import numpy as np
	from nilearn import datasets