Jeremy Freeman freeman-lab

principles

commitment to open source
scalability
transparency
modularity
standardization
iteration
avoiding reinvention

data types

images

`count()`

Explicit count of the number of items.

For lazy or distributed data, will force a computation.

goal

Generic wrapper for hyperx output that appends styles and supports state styles (:hover, :active, etc), should solve for both virtual-dom/h and bel (at least). Should be achievable with a tiny module. Basic styles are pretty easy, state styles are a bit trickier.

Prior art

radium "does the right thing" but is big and react-specific

Some discussion:

	# neurofinder submission
	# local nmf
	#
	# requirements:
	# thunder-python v1.2.0
	# thunder-extraction v1.1.0

	import json
	import thunder as td
	from extraction import NMF

	const mat4 = require('gl-mat4')
	const sphere = require('primitive-icosphere')
	const fit = require('canvas-fit')
	const normals = require('angle-normals')
	const regl = require('regl')()
	const camera = require('lookat-camera')()

	var mesh = sphere(1, {
	subdivisions: 5
	})

	const mat4 = require('gl-mat4')
	const sphere = require('primitive-icosphere')
	const regl = require('regl')()
	const camera = require('lookat-camera')()

	var mesh = sphere(1, {subdivisions: 1})

	const cube = regl({
	frag: `
	precision mediump float;

	```python
	# create shifted copies

	from numpy import arange
	from scipy.ndimage.interpolation import shift
	```

	```python
	# create shifted copies

	import json

	datasets = ['00.00.test', '00.01.test', '01.00.test', '01.01.test', '02.00.test', '02.01.test', '03.00.test', '04.00.test', '04.01.test']

	submission = []

	for dataset in datasets:
	result = {'dataset': dataset, 'regions': [{'coordinates': [[0, 0], [0, 1]]}]}
	submission.append(result)

	import json
	from numpy import zeros, random, asarray, where, ones
	from scipy.ndimage.morphology import binary_closing, binary_dilation

	datasets = ['00.00.test', '00.01.test', '01.00.test', '01.01.test', '02.00.test', '02.01.test', '03.00.test', '04.00.test', '04.01.test']

	dims = [500,500]
	margin = 20
	n = 200