def iterRows(md):
""" Iterate over the rows of the given metadata. """
# If md is string, take as filename and create the metadata
if isinstance(md, basestring):
md = MetaData(md)
row = Row()
for objId in md:
row.readFromMd(md, objId)
yield row
def getFirstRow(filename):
""" Create a MetaData but only read the first row.
This method should be used for validations of labels
or metadata size, but the full metadata is not needed.
"""
md = MetaData()
md.read(filename, 1)
if md.getParsedLines():
row = Row()
row.readFromMd(md, md.firstObject())
else:
row = None
return row
def test_many_arguments(self):
row = Row(thing='a', item=2, stuff=True)
self.assertEqual(row.thing, 'a')
self.assertEqual(row.item, 2)
self.assertEqual(row.stuff, True)
attributes = {x for x in dir(row) if not x.startswith('__')}
self.assertEqual(attributes, {'thing', 'item', 'stuff'})
def iterRows(md, sortByLabel=None):
""" Iterate over the rows of the given metadata.
Params:
md: a MetaData object or a filename (MetaData will be read)
sortByLabel: a label to sort the metadata before iterate.
"""
# If md is string, take as filename and create the metadata
if isinstance(md, basestring):
md = MetaData(md)
if sortByLabel is not None:
md.sort(sortByLabel)
row = Row()
for objId in md:
row.readFromMd(md, objId)
yield row
def getFirstRow(mdOrFn):
""" Return the first object of a metadata.
Params:
mdOrFn: you can pass a metadata or a filename as argument.
"""
if isinstance(mdOrFn, basestring):
md = MetaData()
md.read(mdOrFn, 1)
else: # mdOrFn is MetaData
md = mdOrFn
if md.getParsedLines():
row = Row()
row.readFromMd(md, md.firstObject())
else:
row = None
return row
def iterRows(md, sortByLabel=None):
""" Iterate over the rows of the given metadata.
Params:
md: a MetaData object or a filename (MetaData will be read)
sortByLabel: a label to sort the metadata before iterate.
"""
# If md is string, take as filename and create the metadata
if isinstance(md, basestring):
md = MetaData(md)
if sortByLabel is not None:
md.sort(sortByLabel)
row = Row()
for objId in md:
row.readFromMd(md, objId)
yield row
def getFirstRow(mdOrFn):
""" Return the first object of a metadata.
Params:
mdOrFn: you can pass a metadata or a filename as argument.
"""
if isinstance(mdOrFn, basestring):
md = MetaData()
md.read(mdOrFn, 1)
else: # mdOrFn is MetaData
md = mdOrFn
if md.getParsedLines():
row = Row()
row.readFromMd(md, md.firstObject())
else:
row = None
return row
from classes import (Start_Neuron, Hidden_Neuron, End_Neuron, Row)
from mnist import MNIST
import random as r
mndata = MNIST('data')
images, labels = mndata.load_training()
neuron_id = 0
value_of_neuron = 0
end_row = Row(3, 10)
hidden_row_2 = Row(2, 16, end_row)
hidden_row_1 = Row(1, 16, hidden_row_2)
init_row = Row(0, 784, hidden_row_1)
network = [init_row, hidden_row_1, hidden_row_2, end_row]
print("-" * 10 + " Initializing Network " + "-" * 10)
while True:
if neuron_id < 784:
rowid = 0
print("adding neuron no." + str(neuron_id) + " to inital row")
init_row.neurons[neuron_id] = Start_Neuron(neuron_id, rowid)
elif neuron_id < 784 + 16:
rowid = 1
print("adding neuron no." + str(neuron_id) + " to hidden row 1")
hidden_row_1.neurons[neuron_id] = Hidden_Neuron(neuron_id, rowid)
elif neuron_id < 784 + 16 + 16:
rowid = 2
print("adding neuron no." + str(neuron_id) + " to hidden row 2")
hidden_row_2.neurons[neuron_id] = Hidden_Neuron(neuron_id, rowid)
elif neuron_id < 784 + 16 + 16 + 10:
def test_no_positional_arguments_accepted(self):
with self.assertRaises(Exception):
Row(1, 2)
with self.assertRaises(Exception):
Row(1)
def test_two_arguments(self):
row = Row(a=1, b=2)
self.assertEqual(row.a, 1)
self.assertEqual(row.b, 2)
attributes = {x for x in dir(row) if not x.startswith('__')}
self.assertEqual(attributes, {'a', 'b'})
def test_single_argument(self):
row = Row(a=1)
self.assertEqual(row.a, 1)
attributes = {x for x in dir(row) if not x.startswith('__')}
self.assertEqual(attributes, {'a'})
def test_no_arguments(self):
row = Row()
attributes = {x for x in dir(row) if not x.startswith('__')}
self.assertEqual(attributes, set())
