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[FIX] Distances: handling errors due to too large arrays #2315

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merged 2 commits into from Jun 9, 2017
Merged

[FIX] Distances: handling errors due to too large arrays #2315

merged 2 commits into from Jun 9, 2017

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jerneju
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@jerneju jerneju commented May 15, 2017

Issue

https://sentry.io/biolab/orange3/issues/196744070/events/5529227746/

Description of changes

Users sees an error message when calculating too large arrays and Orange does not crash.

Includes
  • Code changes
  • Tests
  • Documentation

@jerneju
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jerneju commented May 15, 2017

@codecov-io
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codecov-io commented May 15, 2017

Codecov Report

Merging #2315 into master will increase coverage by 0.01%.
The diff coverage is 79.54%.

@@            Coverage Diff             @@
##           master    #2315      +/-   ##
==========================================
+ Coverage   73.27%   73.29%   +0.01%     
==========================================
  Files         317      317              
  Lines       55447    55469      +22     
==========================================
+ Hits        40630    40654      +24     
+ Misses      14817    14815       -2

@janezd
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janezd commented May 20, 2017

@astaric, similar code warnings are stupid. See this -- codeclimate complained about two totally different lists of error in class Error. I suppose it will complain about all such classes?

@@ -48,6 +48,8 @@ class Error(OWWidget.Error):
dense_metric_sparse_data = Msg("Selected metric does not support sparse data")
empty_data = Msg("Empty data set")
mahalanobis_error = Msg("{}")
distances_memory_error = Msg("Not enough memory.")
distances_value_error = Msg("Error occurred while calculating distances: {}")
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The error can be long, so "Error occurred while calculating distances\n{}". Skip the colon, so the error looks OK, and the tooltip shows the entire message.

@@ -144,7 +157,7 @@ def compute_distances(self, metric, data):
self.Error.mahalanobis_error(e)
return

return metric(data, data, 1 - self.axis, impute=True)
return compute(metric, data)
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A stylistic comment. I don't like the obvious radon fixes --- here's a code that's too complex so let's tear out a chunk of it into a separate function.

The main job of compute_distances is not to run various checks and fixes, and in the end, yes, call a local function that computes distances.

Turn it around. The "auxiliary" code should be the code that prepares the data and not the code that does the work. So, factor out the preprocessing/checking instead.


mock = Mock()
mock.side_effect = ValueError
self.widget.compute_distances(mock, self.iris)
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Use side_effect as a keyword argument for mock. I wouldn't even bother to have a mock variable here; I'd use Mock(side_effect=ValueError) as an argument.


mock = Mock()
mock.side_effect = MemoryError
self.widget.compute_distances(mock, self.iris)
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Same.

@jerneju
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jerneju commented May 23, 2017

Fixed.

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jerneju commented May 29, 2017

@jerneju jerneju added this to the 3.4.3 milestone Jun 2, 2017
@nikicc nikicc modified the milestones: future, 3.4.3 Jun 3, 2017
@janezd janezd self-assigned this Jun 9, 2017
@janezd janezd merged commit 8236534 into biolab:master Jun 9, 2017
@jerneju jerneju deleted the value-distances branch June 9, 2017 08:15
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4 participants