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Add flake8-print in pre-commit #939

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merged 2 commits into from
Aug 3, 2020

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22quinn
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@22quinn 22quinn commented Jul 30, 2020

Reference Issue

Closes #930

What does this PR implement/fix? Explain your changes.

  • Add flake8-print in pre-commit config
  • Replace print statements with logging

@22quinn 22quinn changed the title Enable flake8-print in pre-commit Add flake8-print in pre-commit Jul 30, 2020
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codecov-commenter commented Jul 30, 2020

Codecov Report

Merging #939 into develop will not change coverage.
The diff coverage is 0.00%.

Impacted file tree graph

@@           Coverage Diff            @@
##           develop     #939   +/-   ##
========================================
  Coverage    87.76%   87.76%           
========================================
  Files           37       37           
  Lines         4429     4429           
========================================
  Hits          3887     3887           
  Misses         542      542           
Impacted Files Coverage Δ
openml/extensions/sklearn/extension.py 91.18% <0.00%> (ø)

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@PGijsbers
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Hi @zikun, thanks for contributing to openml-python! The changes made are exactly what we were looking for, so I'm going ahead and merge the PR 🎉

@PGijsbers PGijsbers merged commit 5d9c69c into openml:develop Aug 3, 2020
@22quinn 22quinn deleted the pre-commit-flake8-print branch August 3, 2020 15:35
mfeurer pushed a commit that referenced this pull request Sep 2, 2020
* Create first section: Creating Custom Flow

* Add Section: Using the Flow

It is incomplete as while trying to explain how to format the
predictions, I realized a utility function is required.

* Allow run description text to be custom

Previously the description text that accompanies the prediction file was
auto-generated with the assumption that the corresponding flow had an
extension. To support custom flows (with no extension), this behavior
had to be changed. The description can now be passed on initialization.
The description describing it was auto generated from run_task is now
correctly only added if the run was generated through run_flow_on_task.

* Draft for Custom Flow tutorial

* Add minimal docstring to OpenMLRun

I am not for each field what the specifications are.

* Process code review feedback

In particular:
 - text changes
 - fetch true labels from the dataset instead

* Use the format utility function in automatic runs

To format the predictions.

* Process @mfeurer feedback

* Rename arguments of list_evaluations (#933)

* list evals name change

* list evals - update

* adding config file to user guide (#931)

* adding config file to user guide

* finished requested changes

* Edit api (#935)

* version1

* minor fixes

* tests

* reformat code

* check new version

* remove get data

* code format

* review comments

* fix duplicate

* type annotate

* example

* tests for exceptions

* fix pep8

* black format

* Adding support for scikit-learn > 0.22 (#936)

* Preliminary changes

* Updating unit tests for sklearn 0.22 and above

* Triggering sklearn tests + fixes

* Refactoring to inspect.signature in extensions

* Add flake8-print in pre-commit (#939)

* Add flake8-print in pre-commit config

* Replace print statements with logging

* Fix edit api (#940)

* fix edit api

* Update subflow paragraph

* Check the ClassificationTask has class label set

* Test task is of supported type

* Add tests for format_prediction

* Adding Python 3.8 support (#916)

* Adding Python 3.8 support

* Fixing indentation

* Execute test cases for 3.8

* Testing

* Making install script fail

* Process feedback Neeratyoy

* Test Exception with Regex

Also throw NotImplementedError instead of TypeError for unsupported task
types. Added links in the example.

* change edit_api to reflect server (#941)

* change edit_api to reflect server

* change test and example to reflect rest API changes

* tutorial comments

* Update datasets_tutorial.py

* Create first section: Creating Custom Flow

* Add Section: Using the Flow

It is incomplete as while trying to explain how to format the
predictions, I realized a utility function is required.

* Allow run description text to be custom

Previously the description text that accompanies the prediction file was
auto-generated with the assumption that the corresponding flow had an
extension. To support custom flows (with no extension), this behavior
had to be changed. The description can now be passed on initialization.
The description describing it was auto generated from run_task is now
correctly only added if the run was generated through run_flow_on_task.

* Draft for Custom Flow tutorial

* Add minimal docstring to OpenMLRun

I am not for each field what the specifications are.

* Process code review feedback

In particular:
 - text changes
 - fetch true labels from the dataset instead

* Use the format utility function in automatic runs

To format the predictions.

* Process @mfeurer feedback

* Update subflow paragraph

* Check the ClassificationTask has class label set

* Test task is of supported type

* Add tests for format_prediction

* Process feedback Neeratyoy

* Test Exception with Regex

Also throw NotImplementedError instead of TypeError for unsupported task
types. Added links in the example.

Co-authored-by: Bilgecelik <38037323+Bilgecelik@users.noreply.github.com>
Co-authored-by: marcoslbueno <38478211+marcoslbueno@users.noreply.github.com>
Co-authored-by: Sahithya Ravi <44670788+sahithyaravi1493@users.noreply.github.com>
Co-authored-by: Neeratyoy Mallik <neeratyoy@gmail.com>
Co-authored-by: zikun <33176974+zikun@users.noreply.github.com>
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Add flake8-print
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