really simple perf regression test

tests/perf_regression.py

@@ -0,0 +1,47 @@
+import pandas as pd
+import numpy as np
+import buckaroo
+import time
+
+def float_df(N,K):
+    return pd.DataFrame(
+        {chr(i+97): np.random.random_sample(N) for i in range(K)})
+
+# %timeit float_df(100_000,20) 9ms on my laptop
+
+def bw_do_stuff(df, **kwargs):
+    bw = buckaroo.BuckarooWidget(df, **kwargs)
+#%timeit bw_do_stuff(float_df(100_000, 20)) 500 ms on my laptop
+
+
+# the slow part is serialization to json, not summary stats
+# %timeit bw_do_stuff2(float_df(10_000, 5)) 140 ms on my laptop
+# %timeit bw_do_stuff2(float_df(100_000, 5)) 150ms on my laptop
+
+
+def test_basic_instantiation():
+    t_start = time.time()
+    float_df(100_000, 20)
+    t_end = time.time()
+
+    np_time = t_end - t_start
+    assert np_time < 10
+
+    bw_start = time.time()
+    bw_do_stuff(float_df(10_000,5))
+    bw_end = time.time()
+    bw_time_1 = bw_end - bw_start
+
+    assert bw_time_1 < np_time * 50
+
+
+    bw_start2 = time.time()
+    bw_do_stuff(float_df(100_000,5))
+    bw_end2 = time.time()
+    bw_time_2 = bw_end2 - bw_start2
+
+    assert bw_time_2 < np_time * 50
+
+
+
+

tests/perf_regression_test.py

@@ -0,0 +1,47 @@
+import pandas as pd
+import numpy as np
+import buckaroo
+import time
+
+def float_df(N,K):
+    return pd.DataFrame(
+        {chr(i+97): np.random.random_sample(N) for i in range(K)})
+
+# %timeit float_df(100_000,20) 9ms on my laptop
+
+def bw_do_stuff(df, **kwargs):
+    bw = buckaroo.BuckarooWidget(df, **kwargs)
+#%timeit bw_do_stuff(float_df(100_000, 20)) 500 ms on my laptop
+
+
+# the slow part is serialization to json, not summary stats
+# %timeit bw_do_stuff2(float_df(10_000, 5)) 140 ms on my laptop
+# %timeit bw_do_stuff2(float_df(100_000, 5)) 150ms on my laptop
+
+
+def test_basic_instantiation():
+    t_start = time.time()
+    float_df(100_000, 20)
+    t_end = time.time()
+
+    np_time = t_end - t_start
+    assert np_time < 10
+
+    bw_start = time.time()
+    bw_do_stuff(float_df(10_000,5))
+    bw_end = time.time()
+    bw_time_1 = bw_end - bw_start
+
+    assert bw_time_1 < np_time * 50
+
+
+    bw_start2 = time.time()
+    bw_do_stuff(float_df(100_000,5))
+    bw_end2 = time.time()
+    bw_time_2 = bw_end2 - bw_start2
+
+    assert bw_time_2 < np_time * 50
+
+
+
+