separating external tests

stringertheory · Feb 6, 2024 · bdec3ca · bdec3ca
1 parent 949801a
commit bdec3ca
Showing 2 changed files with 110 additions and 110 deletions.
diff --git a/tests/test_traces.py b/tests/test_traces.py
@@ -1,11 +1,9 @@
 import csv
 import os
 import pickle
-from datetime import datetime, timedelta
+from datetime import datetime
 
-import pandas as pd
 import pytest
-from pandas.testing import assert_series_equal
 
 from traces import TimeSeries
 
@@ -169,112 +167,6 @@ def test_remove_points_from_interval():
     assert ts[5] == 0
 
 
-def test_sample_interval_days():
-    ts = TimeSeries([(datetime(2012, 1, 1), 400), (datetime(2012, 3, 1), 400)])
-    ts[datetime(2012, 1, 4) : datetime(2012, 1, 20)] = 10
-    ts[datetime(2012, 1, 25) : datetime(2012, 2, 7)] = 50
-    ts[datetime(2012, 1, 19) : datetime(2012, 1, 27)] = 0
-
-    sr = ts.sample_interval(
-        sampling_period=timedelta(days=1), end=datetime(2012, 2, 1)
-    )
-    assert list(sr.items()) == [
-        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-04 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-06 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-07 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-08 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-09 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-10 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-11 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-12 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-13 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-14 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-15 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-16 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-17 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-18 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-19 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-20 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-21 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-22 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-23 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-24 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-25 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-26 00:00:00"), 0.0),
-        (pd.Timestamp("2012-01-27 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-28 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-29 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-30 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-31 00:00:00"), 50.0),
-    ]
-
-
-def test_sample_interval_hours():
-    ts = TimeSeries([(datetime(2012, 1, 1), 400), (datetime(2012, 1, 10), 400)])
-
-    ts[datetime(2012, 1, 4, 12) : datetime(2012, 1, 6, 20)] = 10
-    ts[datetime(2012, 1, 7, 9) : datetime(2012, 1, 10)] = 50
-
-    sr = ts.sample_interval(sampling_period=timedelta(days=1))
-    assert list(sr.items()) == [
-        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-04 00:00:00"), 205.0),
-        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-06 00:00:00"), 75.0),
-        (pd.Timestamp("2012-01-07 00:00:00"), 181.25),
-        (pd.Timestamp("2012-01-08 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-09 00:00:00"), 50.0),
-    ]
-
-    sr = ts.sample_interval(sampling_period=timedelta(days=1), operation="max")
-    assert list(sr.items()) == [
-        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-04 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-06 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-07 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-08 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-09 00:00:00"), 50.0),
-    ]
-
-    sr = ts.sample_interval(sampling_period=timedelta(days=1), operation="min")
-    assert list(sr.items()) == [
-        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
-        (pd.Timestamp("2012-01-04 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-06 00:00:00"), 10.0),
-        (pd.Timestamp("2012-01-07 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-08 00:00:00"), 50.0),
-        (pd.Timestamp("2012-01-09 00:00:00"), 50.0),
-    ]
-
-
-def test_sample_interval_index():
-    start = datetime(2012, 1, 1)
-    end = datetime(2012, 1, 10)
-
-    ts = TimeSeries([(start, 400), (end, 400)])
-
-    ts[datetime(2012, 1, 4, 12) : datetime(2012, 1, 6, 20)] = 10
-    ts[datetime(2012, 1, 7, 9) : datetime(2012, 1, 10)] = 50
-
-    idx = pd.date_range(start, end, freq="D")
-    sr = ts.sample_interval(sampling_period=timedelta(days=1))
-    sr2 = ts.sample_interval(idx=idx)
-
-    assert_series_equal(sr, sr2)
-
-
 def test_pickle():
     ts = TimeSeries(default=False)
     ts[1] = True

diff --git a/tests/test_traces_external.py b/tests/test_traces_external.py
@@ -1,8 +1,10 @@
 import csv
 import os
-from datetime import datetime
+from datetime import datetime, timedelta
 
+import pandas as pd
 from dateutil.parser import parse as date_parse
+from pandas.testing import assert_series_equal
 
 from traces import TimeSeries
 
@@ -25,3 +27,109 @@ def test_csv():
     assert ts[datetime(2000, 1, 1, 9)] is None
     assert ts[datetime(2000, 1, 1, 10, 30)] == "15"
     assert ts[datetime(2000, 1, 1, 20)] == "nan"
+
+
+def test_sample_interval_days():
+    ts = TimeSeries([(datetime(2012, 1, 1), 400), (datetime(2012, 3, 1), 400)])
+    ts[datetime(2012, 1, 4) : datetime(2012, 1, 20)] = 10
+    ts[datetime(2012, 1, 25) : datetime(2012, 2, 7)] = 50
+    ts[datetime(2012, 1, 19) : datetime(2012, 1, 27)] = 0
+
+    sr = ts.sample_interval(
+        sampling_period=timedelta(days=1), end=datetime(2012, 2, 1)
+    )
+    assert list(sr.items()) == [
+        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-04 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-06 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-07 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-08 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-09 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-10 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-11 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-12 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-13 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-14 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-15 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-16 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-17 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-18 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-19 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-20 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-21 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-22 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-23 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-24 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-25 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-26 00:00:00"), 0.0),
+        (pd.Timestamp("2012-01-27 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-28 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-29 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-30 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-31 00:00:00"), 50.0),
+    ]
+
+
+def test_sample_interval_hours():
+    ts = TimeSeries([(datetime(2012, 1, 1), 400), (datetime(2012, 1, 10), 400)])
+
+    ts[datetime(2012, 1, 4, 12) : datetime(2012, 1, 6, 20)] = 10
+    ts[datetime(2012, 1, 7, 9) : datetime(2012, 1, 10)] = 50
+
+    sr = ts.sample_interval(sampling_period=timedelta(days=1))
+    assert list(sr.items()) == [
+        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-04 00:00:00"), 205.0),
+        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-06 00:00:00"), 75.0),
+        (pd.Timestamp("2012-01-07 00:00:00"), 181.25),
+        (pd.Timestamp("2012-01-08 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-09 00:00:00"), 50.0),
+    ]
+
+    sr = ts.sample_interval(sampling_period=timedelta(days=1), operation="max")
+    assert list(sr.items()) == [
+        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-04 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-06 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-07 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-08 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-09 00:00:00"), 50.0),
+    ]
+
+    sr = ts.sample_interval(sampling_period=timedelta(days=1), operation="min")
+    assert list(sr.items()) == [
+        (pd.Timestamp("2012-01-01 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-02 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-03 00:00:00"), 400.0),
+        (pd.Timestamp("2012-01-04 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-05 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-06 00:00:00"), 10.0),
+        (pd.Timestamp("2012-01-07 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-08 00:00:00"), 50.0),
+        (pd.Timestamp("2012-01-09 00:00:00"), 50.0),
+    ]
+
+
+def test_sample_interval_index():
+    start = datetime(2012, 1, 1)
+    end = datetime(2012, 1, 10)
+
+    ts = TimeSeries([(start, 400), (end, 400)])
+
+    ts[datetime(2012, 1, 4, 12) : datetime(2012, 1, 6, 20)] = 10
+    ts[datetime(2012, 1, 7, 9) : datetime(2012, 1, 10)] = 50
+
+    idx = pd.date_range(start, end, freq="D")
+    sr = ts.sample_interval(sampling_period=timedelta(days=1))
+    sr2 = ts.sample_interval(idx=idx)
+
+    assert_series_equal(sr, sr2)