From c77bcaca7b557a945c8a042232c2c5ba999e1fcf Mon Sep 17 00:00:00 2001 From: William de Vazelhes Date: Fri, 16 Apr 2021 09:30:37 +0200 Subject: [PATCH 1/3] test env command --- .travis.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.travis.yml b/.travis.yml index 03ba1706..fca46a13 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,6 +16,7 @@ matrix: script: - pytest test --cov; after_success: + - env - bash <(curl -s https://codecov.io/bash) - name: "Pytest python 3.6 with skggm" python: "3.6" @@ -27,6 +28,7 @@ matrix: script: - pytest test --cov; after_success: + - env - bash <(curl -s https://codecov.io/bash) - name: "Pytest python 3.7 with skggm" python: "3.7" @@ -38,6 +40,7 @@ matrix: script: - pytest test --cov; after_success: + - env - bash <(curl -s https://codecov.io/bash) - name: "Pytest python 3.6 with skggm + scikit-learn 0.20.3" # checks that tests work for the oldest supported scikit-learn version @@ -51,6 +54,7 @@ matrix: script: - pytest test --cov; after_success: + - env - bash <(curl -s https://codecov.io/bash) - name: "Syntax checking with flake8" python: "3.7" From 455fbe4e48f30dc088269f57eff57ef57d572545 Mon Sep 17 00:00:00 2001 From: William de Vazelhes Date: Fri, 16 Apr 2021 12:09:35 +0200 Subject: [PATCH 2/3] add some random code to see if it triggers well codecov --- metric_learn/covariance.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/metric_learn/covariance.py b/metric_learn/covariance.py index 3b218e6d..6745c811 100644 --- a/metric_learn/covariance.py +++ b/metric_learn/covariance.py @@ -47,6 +47,10 @@ def fit(self, X, y=None): """ X = self._prepare_inputs(X, ensure_min_samples=2) M = np.atleast_2d(np.cov(X, rowvar=False)) + tt = 1+1 + tt_bis = tt +2 + tt = tt_bis - 1 + del(tt) if M.size == 1: M = 1. / M else: From 9697b13d16ae8d58699346c5a582c46f935f079d Mon Sep 17 00:00:00 2001 From: William de Vazelhes Date: Fri, 16 Apr 2021 12:34:19 +0200 Subject: [PATCH 3/3] fix flake8 --- metric_learn/covariance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metric_learn/covariance.py b/metric_learn/covariance.py index 6745c811..dabd2228 100644 --- a/metric_learn/covariance.py +++ b/metric_learn/covariance.py @@ -48,7 +48,7 @@ def fit(self, X, y=None): X = self._prepare_inputs(X, ensure_min_samples=2) M = np.atleast_2d(np.cov(X, rowvar=False)) tt = 1+1 - tt_bis = tt +2 + tt_bis = tt + 2 tt = tt_bis - 1 del(tt) if M.size == 1: