solved the output conflicts

Author: kiddopro

.learn/exercises/04-Series/test.py

@@ -1,5 +1,6 @@
 import pytest, io, os, sys, re
 
+
 @pytest.mark.it('You must import pandas')
 def test_import_pandas():
     path = os.path.dirname(os.path.abspath('app.py'))+'/app.py'
@@ -8,15 +9,11 @@ def test_import_pandas():
         regex = re.compile(r"import\s*pandas")
         assert bool(regex.search(content)) == True
 
-@pytest.mark.it('The variable ages must exist')
-def test_vatiable_existence():
-    from app import ages
-
 @pytest.mark.it("Use the print function")
 def test_output():
     f = open(os.path.dirname(os.path.abspath('app.py')) + '/app.py')
     content = f.read()
-    assert content.find("print(") > 0
+    assert content.find("print") > 0
 
 @pytest.mark.it('The output should be the expected')
 def test_expected_output(capsys):
@@ -33,4 +30,8 @@ def test_expected_output(capsys):
 8    54
 9    34
 dtype: int64
-"""
+"""
+
+@pytest.mark.it('The variable ages must exist')
+def test_vatiable_existence():
+    from app import ages

.learn/exercises/04.2-Series_Apply/test.py

@@ -14,9 +14,6 @@ def test_output():
     content = f.read()
     assert content.find("print(") > 0
 
-@pytest.mark.it('The variable my_series should exist')
-def test_variable_existence():
-    from app import my_series
 
 @pytest.mark.it('The output should be the expected')
 def test_expected_output(capsys):
@@ -27,4 +24,9 @@ def test_expected_output(capsys):
 2    3.0
 3    4.0
 4    5.0
-dtype: float64"""
+dtype: float64
+"""
+
+@pytest.mark.it('The variable my_series should exist')
+def test_variable_existence():
+    from app import my_series

conftest.py

@@ -24,4 +24,4 @@ def pytest_generate_tests(metafunc):
         except AttributeError:
           metafunc.parametrize("app",[cached_app])
     if 'configuration' in metafunc.fixturenames:
-        metafunc.parametrize("configuration", [json.loads('{"port":3000,"address":"https://kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","editor":{"mode":"preview","agent":"gitpod","version":"1.0.72"},"dirPath":"./.learn","configPath":"learn.json","outputPath":".learn/dist","publicPath":"/preview","publicUrl":"https://3000-kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","language":"auto","grading":"incremental","exercisesPath":".learn/exercises","webpackTemplate":null,"disableGrading":false,"disabledActions":["build"],"actions":[],"entries":{"html":"index.html","vanillajs":"index.js","react":"app.jsx","node":"app.js","python3":"app.py","java":"app.java"},"preview":"https://github.com/4GeeksAcademy/python-pandas-tutorial/blob/main/.learn/assets/pandas-preview.jpeg?raw=true","difficulty":"beginner","duration":3,"description":"Learn the basics and become comfortable using pandas for manipulating machine learning datasets .","title":"Pandas for Machine Learning","slug":"pandas-for-machine-learning","session":8607061631283586000,"translations":[]}')])
+        metafunc.parametrize("configuration", [json.loads('{"port":3000,"address":"https://kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","editor":{"mode":"preview","agent":"gitpod","version":"1.0.72"},"dirPath":"./.learn","configPath":"learn.json","outputPath":".learn/dist","publicPath":"/preview","publicUrl":"https://3000-kiddopro-pythonpandastut-zzjbcc6h0h1.ws-us34.gitpod.io","language":"auto","grading":"incremental","exercisesPath":".learn/exercises","webpackTemplate":null,"disableGrading":false,"disabledActions":["build"],"actions":[],"entries":{"html":"index.html","vanillajs":"index.js","react":"app.jsx","node":"app.js","python3":"app.py","java":"app.java"},"preview":"https://github.com/4GeeksAcademy/python-pandas-tutorial/blob/main/.learn/assets/pandas-preview.jpeg?raw=true","difficulty":"beginner","duration":3,"description":"Learn the basics and become comfortable using pandas for manipulating machine learning datasets .","title":"Pandas for Machine Learning","slug":"pandas-for-machine-learning","session":8168377007383989000,"translations":[]}')])