[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, 0 insertions, 50 deletions

diff --git a/testing/tests/benchmarks/test_resources.py b/testing/tests/benchmarks/test_resources.py
deleted file mode 100644
index 173edbd1..00000000
--- a/testing/tests/benchmarks/test_resources.py
+++ /dev/null
@@ -1,50 +0,0 @@
-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)