[refactor] move tests to root of repository

Tests entrypoint was in a testing/ subfolder in the root of the
repository. This was made mainly because we had some common files for
tests and we didn't want to ship them (files in testing/test_soledad,
which is itself a python package. This sometimes causes errors when
loading tests (it seems setuptools is confused with having one python
package in a subdirectory of another).

This commit moves the tests entrypoint to the root of the repository.

Closes: #8952

1 files changed, 50 insertions, 0 deletions

diff --git a/tests/benchmarks/test_resources.py b/tests/benchmarks/test_resources.py
new file mode 100644
index 00000000..173edbd1
--- /dev/null
+++ b/tests/benchmarks/test_resources.py
@@ -0,0 +1,50 @@
+import pytest
+import random
+import time
+
+from decimal import Decimal
+
+
+def bellardBig(n):
+    # http://en.wikipedia.org/wiki/Bellard%27s_formula
+    pi = Decimal(0)
+    k = 0
+    while k < n:
+        pi += (Decimal(-1) ** k / (1024 ** k)) * (
+            Decimal(256) / (10 * k + 1) +
+            Decimal(1) / (10 * k + 9) -
+            Decimal(64) / (10 * k + 3) -
+            Decimal(32) / (4 * k + 1) -
+            Decimal(4) / (10 * k + 5) -
+            Decimal(4) / (10 * k + 7) -
+            Decimal(1) / (4 * k + 3))
+        k += 1
+    pi = pi * 1 / (2 ** 6)
+    return pi
+
+
+@pytest.mark.skip(reason='not a real use case, used only for instrumentation')
+def test_cpu_intensive(monitored_benchmark):
+
+    def _cpu_intensive():
+        sleep = [random.uniform(0.5, 1.5) for _ in xrange(3)]
+        while sleep:
+            t = sleep.pop()
+            time.sleep(t)
+            bellardBig(int((10 ** 3) * t))
+
+    monitored_benchmark(_cpu_intensive)
+
+
+@pytest.mark.skip(reason='not a real use case, used only for instrumentation')
+def test_memory_intensive(monitored_benchmark):
+
+    def _memory_intensive():
+        sleep = [random.uniform(0.5, 1.5) for _ in xrange(3)]
+        bigdata = ""
+        while sleep:
+            t = sleep.pop()
+            bigdata += "b" * 10 * int(10E6)
+            time.sleep(t)
+
+    monitored_benchmark(_memory_intensive)