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Test the exception conditions #1853

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Merged
merged 6 commits into from
Apr 13, 2020
Merged

Test the exception conditions #1853

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b53f627
Text exception conditions
cclauss Apr 12, 2020
0537acd
fixup! Format Python code with psf/black push
Apr 12, 2020
51d7502
Update perceptron.py
cclauss Apr 12, 2020
aafb5c8
Update perceptron.py
cclauss Apr 12, 2020
c77dc7d
Update perceptron.py
cclauss Apr 12, 2020
41a7e81
Revert the test
cclauss Apr 12, 2020
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23 changes: 17 additions & 6 deletions neural_network/perceptron.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,17 +19,28 @@ def __init__(self, sample, target, learning_rate=0.01, epoch_number=1000, bias=-
:param learning_rate: learning rate used in optimizing.
:param epoch_number: number of epochs to train network on.
:param bias: bias value for the network.

>>> p = Perceptron([], (0, 1, 2))
Traceback (most recent call last):
...
ValueError: Sample data can not be empty
>>> p = Perceptron(([0], 1, 2), [])
Traceback (most recent call last):
...
ValueError: Target data can not be empty
>>> p = Perceptron(([0], 1, 2), (0, 1))
Traceback (most recent call last):
...
ValueError: Sample data and Target data do not have matching lengths
"""
self.sample = sample
if len(self.sample) == 0:
raise AttributeError("Sample data can not be empty")
raise ValueError("Sample data can not be empty")
self.target = target
if len(self.target) == 0:
raise AttributeError("Target data can not be empty")
raise ValueError("Target data can not be empty")
if len(self.sample) != len(self.target):
raise AttributeError(
"Sample data and Target data do not have matching lengths"
)
raise ValueError("Sample data and Target data do not have matching lengths")
self.learning_rate = learning_rate
self.epoch_number = epoch_number
self.bias = bias
Expand Down Expand Up @@ -98,7 +109,7 @@ def sort(self, sample) -> None:
classification: P...
"""
if len(self.sample) == 0:
raise AttributeError("Sample data can not be empty")
raise ValueError("Sample data can not be empty")
sample.insert(0, self.bias)
u = 0
for i in range(self.col_sample + 1):
Expand Down