Clean up temporary files (#374)

* use tmp_path to clean up mcmc_wldf.csv

* use pytest's tmp_path to clean things up

* bump version to 2.8.2

* bump version to 2.8.3

README.rst

@@ -2,7 +2,7 @@
 anesthetic: nested sampling post-processing
 ===========================================
 :Authors: Will Handley and Lukas Hergt
-:Version: 2.8.2
+:Version: 2.8.3
 :Homepage: https://github.com/handley-lab/anesthetic
 :Documentation: http://anesthetic.readthedocs.io/
 

anesthetic/_version.py

@@ -1 +1 @@
-__version__ = '2.8.2'
+__version__ = '2.8.3'

tests/test_labelled_pandas.py

@@ -472,8 +472,8 @@ def test_drop_labels(lframe_index):
     assert nolabels.drop_labels() is not nolabels
 
 
-def test_read_csv():
-    filename = 'mcmc_ldf.csv'
+def test_read_csv(tmp_path):
+    filename = tmp_path / 'mcmc_ldf.csv'
 
     lframe = LabelledDataFrame(np.random.rand(3, 3),
                                index=['A', 'B', 'C'],

tests/test_reader.py

@@ -311,22 +311,23 @@ def test_path(root):
 
 
 @pytest.mark.parametrize('root', ['pc', 'gd'])
-def test_read_csv(root):
+def test_read_csv(tmp_path, root):
+    filename = tmp_path / f'{root}.csv'
     samples = read_chains(f'./tests/example_data/{root}')
-    samples.to_csv(f'{root}.csv')
+    samples.to_csv(filename)
 
-    samples_ = read_csv(f'{root}.csv')
+    samples_ = read_csv(filename)
     samples_.root = samples.root
     assert_frame_equal(samples, samples_)
 
-    samples_ = read_csv(f'{root}')
+    samples_ = read_csv(filename)
     samples_.root = samples.root
     assert_frame_equal(samples, samples_)
 
-    samples_ = read_chains(f'{root}.csv')
+    samples_ = read_chains(filename)
     samples_.root = samples.root
     assert_frame_equal(samples, samples_)
 
-    samples_ = read_chains(f'{root}')
+    samples_ = read_chains(filename)
     samples_.root = samples.root
     assert_frame_equal(samples, samples_)

tests/test_weighted_labelled_pandas.py

@@ -4,8 +4,8 @@
 import pandas
 
 
-def test_read_csv():
-    filename = 'mcmc_wldf.csv'
+def test_read_csv(tmp_path):
+    filename = tmp_path / 'mcmc_wldf.csv'
 
     wlframe = WeightedLabelledDataFrame(np.random.rand(3, 3),
                                         index=[0, 1, 2],

tests/test_weighted_pandas.py

@@ -1008,8 +1008,8 @@ def test_style(mcmc_wdf):
         ax = mcmc_wdf.plot.scatter_2d('x', 'y', style='c')
 
 
-def test_read_csv(mcmc_wdf):
-    filename = 'mcmc_wdf.csv'
+def test_read_csv(tmp_path, mcmc_wdf):
+    filename = tmp_path / 'mcmc_wdf.csv'
 
     mcmc_wdf.to_csv(filename)
     mcmc_wdf_ = read_csv(filename)