Bryan Bischof BBischof

## compute_product.py
quats = {"ii":"-1",
         "jj":"-1",
         "kk":"-1",
         "ij":"k",
         "ji":"-k",
         "ik":"-j",
         "ki":"j",
         "jk":"i",
         "kj":"-i"
        }

## .block
license: mit

## exceptions.py
class B(Exception):
    pass

class C(B):
    pass

class D(C):
    pass

for cls in [B, C, D]:

## f_nulls.py
'''does something to an i'''
def f:
  return i

s = pd.Series([f(i) for i in df.index])
df['A'] = np.where(df['A'].notnull(), df['A'],s)

## .block
license: gpl-3.0

## .block
license: mit

## .block
license: gpl-3.0
height: 200

## .block
license: gpl-3.0
height: 200

## pathlike_dict_access_class.py
import sys, json
#inspired by http://stackoverflow.com/questions/14692690/access-python-nested-dictionary-items-via-a-list-of-keys

# Testing dictionary
D = {
  "a": {
    "aa": {
      "aaa": 1,
      "aab": 2
    },

## op_controller.py
'''
A simple example of how to use an operation controller
(note, this doesn't run, all the functions are missing)
'''

'''
operation controller
'''
def controller(op_code, data, data2):
  ops = {
	quats = {"ii":"-1",
	"jj":"-1",
	"kk":"-1",
	"ij":"k",
	"ji":"-k",
	"ik":"-j",
	"ki":"j",
	"jk":"i",
	"kj":"-i"
	}
	class B(Exception):
	pass

	class C(B):
	pass

	class D(C):
	pass

	for cls in [B, C, D]:
	'''does something to an i'''
	def f:
	return i

	s = pd.Series([f(i) for i in df.index])
	df['A'] = np.where(df['A'].notnull(), df['A'],s)
	import sys, json
	#inspired by http://stackoverflow.com/questions/14692690/access-python-nested-dictionary-items-via-a-list-of-keys

	# Testing dictionary
	D = {
	"a": {
	"aa": {
	"aaa": 1,
	"aab": 2
	},
	'''
	A simple example of how to use an operation controller
	(note, this doesn't run, all the functions are missing)
	'''

	'''
	operation controller
	'''
	def controller(op_code, data, data2):
	ops = {