Skip to content

Me too! #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 7 commits into
base: master
Choose a base branch
from
Open

Me too! #7

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
7 commits
Select commit Hold shift + click to select a range
dd220fb
andrew wuz here
zahariaa Apr 11, 2015
afe387e
Merge branch 'master' of https://github.com/codeneuro/gitgoing
zahariaa Apr 11, 2015
a16b3a7
Fixed cv function!! Yaay!!
zahariaa Apr 11, 2015
7799589
Merge branch 'master' of https://github.com/codeneuro/gitgoing
zahariaa Apr 11, 2015
74bfd32
Merge branch 'master' of https://github.com/codeneuro/gitgoing
zahariaa Apr 11, 2015
22d56bf
uncommented
zahariaa Apr 11, 2015
b713f56
fixed cv
zahariaa Apr 11, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
# andrew wuz here

# gitgoing

[![Build Status](https://travis-ci.org/CodeNeuro/gitgoing.png?branch=master)](https://travis-ci.org/CodeNeuro/gitgoing)
Expand Down
12 changes: 6 additions & 6 deletions tests/test_gitgoing.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -37,14 +37,14 @@ def test_std_plus_one(x_norm):
true_std = np.std(x_norm) + 1
assert test_std == true_std

# def test_cv_broken(x_norm):
# from gitgoing.gitgoing import std_plus_one, mean_plus_one, cv
def test_cv_broken(x_norm):
from gitgoing import std_plus_one, mean_plus_one, cv

# test_cv = cv(x_norm)
# true_cv = std_plus_one(x_norm)/mean_plus_one(x_norm)
test_cv = cv(x_norm)
true_cv = mean_plus_one(x_norm)/std_plus_one(x_norm)

# # This test will fail
# assert test_cv == true_cv
# This test will fail
assert test_cv == true_cv

@pytest.fixture(params=['soma', 'axon', 'synapse', 'dendrite',
pytest.mark.xfail('fibroblast')])
Expand Down