def updateResultBars( self, canvas ):
""" Draws summary for the user. """
canvas.delete( 'all' )
# calculate all necessary values by using functions from diet_delector.py
user = diet_selector.normalizeVertically( self.userChoicesMatrix )
price = diet_selector.normalizeVertically( diet_selector.price )
nour = diet_selector.normalizeVertically( diet_selector.nour )
time = diet_selector.normalizeVertically( diet_selector.time )
digestibility = diet_selector.normalizeVertically( diet_selector.digestibility )
calorific = diet_selector.normalizeVertically( diet_selector.calorific )
simplicity = diet_selector.normalizeVertically( diet_selector.simplicity )
s0 = diet_selector.calcMatrixWithAvgRows( user )
s = diet_selector.calcMatrixWithAvgRows( price, nour, time, digestibility, calorific, simplicity )
r = diet_selector.calcDecisionValues( s0, s )
offsetY = -110
offsetX = -100
#canvas.create_rectangle( self.windowWidth / 2 - 100, 85 + self.beltPosOffset + offsetY,
# self.windowWidth / 2 + 100, 185 + self.beltPosOffset + offsetY, fill = 'light green' )
canvas.create_text( self.windowWidth / 2 + offsetX, 120 + offsetY, anchor = 'e',
text = diet_selector.COURSES[0], font = ( 'Calibri', 10 ), fill = 'black' )
canvas.create_rectangle( self.windowWidth / 2 + offsetX + 10, 115 + offsetY,
self.windowWidth / 2 + offsetX + r[0] * 1000, 125 + self.beltPosOffset + offsetY, fill = 'light green' )
canvas.create_text( self.windowWidth / 2 + offsetX, 135 + offsetY, anchor = 'e',
text = diet_selector.COURSES[1], font = ( 'Calibri', 10 ), fill = 'black' )
canvas.create_rectangle( self.windowWidth / 2 + offsetX + 10, 130 + offsetY,
self.windowWidth / 2 + offsetX + r[1] * 1000, 140 + self.beltPosOffset + offsetY, fill = 'light green' )
canvas.create_text( self.windowWidth / 2 + offsetX, 150 + offsetY, anchor = 'e',
text = diet_selector.COURSES[2], font = ( 'Calibri', 10 ), fill = 'black' )
canvas.create_rectangle( self.windowWidth / 2 + offsetX + 10, 145 + offsetY,
self.windowWidth / 2 + offsetX + r[2] * 1000, 155 + self.beltPosOffset + offsetY, fill = 'light green' )
canvas.create_text( self.windowWidth / 2 + offsetX, 165 + offsetY, anchor = 'e',
text = diet_selector.COURSES[3], font = ( 'Calibri', 10 ), fill = 'black' )
canvas.create_rectangle( self.windowWidth / 2 + offsetX + 10, 160 + offsetY,
self.windowWidth / 2 + offsetX + r[3] * 1000, 170 + self.beltPosOffset + offsetY, fill = 'light green' )
canvas.create_text( self.windowWidth / 2 + offsetX, 180 + offsetY, anchor = 'e',
text = diet_selector.COURSES[4], font = ( 'Calibri', 10 ), fill = 'black' )
canvas.create_rectangle( self.windowWidth / 2 + offsetX + 10, 175 + offsetY,
self.windowWidth / 2 + offsetX + r[4] * 1000, 185 + self.beltPosOffset + offsetY, fill = 'light green' )
consistence = diet_selector.countMatrixConsistency( self.userChoicesMatrix, diet_selector.RI )
consistencyPercent = 100 - ( consistence / 0.1 * 100.0 )
if( not diet_selector.isMatrixConsistence( self.userChoicesMatrix, diet_selector.RI ) ):
consistencyPercent = min( -( 100 - ( consistence / 0.1 * 100.0 ) ), 100 )
canvas.create_text( self.windowWidth / 2, 200 + offsetY,
text = 'The choice is inconsistent! (' + str( int( consistencyPercent ) ) + '%)', font = ( 'Calibri', 13 ), fill = 'red' )
else:
canvas.create_text( self.windowWidth / 2, 200 + offsetY,
text = 'The choice is consistent. (' + str( int( consistencyPercent ) ) + '%)', font = ( 'Calibri', 13 ), fill = 'dark green' )
def test_makeMatrixWithAvgRows_singleMatrix(self):
m0 = [
[0.63, 0.6702127659574468, 0.6176470588235293, 0.45],
[0.21, 0.22340425531914893, 0.2647058823529412, 0.35],
[0.09, 0.07446808510638298, 0.08823529411764705, 0.15],
[0.07, 0.031914893617021274, 0.02941176470588235, 0.05],
]
s = diet_selector.calcMatrixWithAvgRows(m0)
self.assertEqual(s, [[0.5919649561952441, 0.2620275344180225, 0.1006758448060075, 0.045331664580725906]])
def test_makeMatrixWithAvgRows_multipleMatrices(self):
diet_selector.normalizeVertically(self.m1)
diet_selector.normalizeVertically(self.m2)
diet_selector.normalizeVertically(self.m3)
diet_selector.normalizeVertically(self.m4)
s = diet_selector.calcMatrixWithAvgRows(self.m1, self.m2, self.m3, self.m4)
self.assertEqual(
s,
[
[0.5105339105339105, 0.3893217893217893, 0.10014430014430013],
[0.1577639751552795, 0.6554865424430641, 0.1867494824016563],
[0.5105339105339105, 0.3893217893217893, 0.10014430014430013],
[0.7978093167966587, 0.10531475088437114, 0.09687593231897029],
],
)
