Add autoscaling test

Author: andrewdalpino

.github/workflows/ci.yml

@@ -23,10 +23,7 @@ jobs:
           python-version: ${{ matrix.python }}
 
       - name: Install dependencies
-        run: pip install .
-
-      - name: Install Mypy
-        run: pip install mypy
+        run: pip install -e '.[test]'
 
       - name: Static analysis
         run: mypy ./src

pyproject.toml

@@ -3,7 +3,7 @@ requires = ["setuptools >= 61.0"]
 build-backend = "setuptools.build_meta"
 
 [project]
-name = "PyBloomer"
+name = "OkBloomer"
 version = "0.0.1"
 requires-python = ">= 3.10"
 dependencies = [
@@ -12,10 +12,14 @@ dependencies = [
 authors = [
   {name = "Andrew DalPino", email = "support@andrewdalpino.com"},
 ]
-description = "PyBloomer is an implementation of the OkBloomer algorithm, an autoscaling Bloom filter with ultra-low memory footprint for Python."
+description = "PyBloomer is an Python implementation of the OkBloomer algorithm, an autoscaling Bloom filter with ultra-low memory footprint."
 readme = "README.md"
 license = {text = "MIT"}
 
+[project.optional-dependencies]
+dev = ["mypy"]
+test = ["mypy"]
+
 [project.urls]
 Homepage = "https://github.com/andrewdalpino/PyBloomer"
 Documentation = "https://github.com/andrewdalpino/PyBloomer/README.md"

tests/test_bloom_filter.py

@@ -1,14 +1,12 @@
 import unittest
+import random
+import string
 
 import pybloomer
 
 class TestBloomFilter(unittest.TestCase):
     def test_basic(self):
-        filter = pybloomer.BloomFilter(
-            max_false_positive_rate=0.01,
-            num_hashes=4,
-            layer_size=32000000,
-        )
+        filter = pybloomer.BloomFilter()
 
         self.assertEqual(filter.false_positive_rate, 0)
 
@@ -26,12 +24,10 @@ def test_basic(self):
         self.assertTrue(filter.exists('bar'))
         self.assertGreater(filter.false_positive_rate, 0)
 
+        self.assertFalse(filter.exists('baz'))
+
     def test_exists_or_insert(self):
-        filter = pybloomer.BloomFilter(
-            max_false_positive_rate=0.01,
-            num_hashes=4,
-            layer_size=32000000,
-        )
+        filter = pybloomer.BloomFilter()
 
         self.assertFalse(filter.exists_or_insert('foo'))
 
@@ -43,4 +39,30 @@ def test_exists_or_insert(self):
 
         self.assertFalse(filter.exists_or_insert('baz'))
 
-        self.assertTrue(filter.exists_or_insert('baz'))
+        self.assertTrue(filter.exists_or_insert('baz'))
+
+    def test_autoscaling(self):
+        random.seed(0)
+
+        filter = pybloomer.BloomFilter(
+            max_false_positive_rate=0.01,
+            num_hashes=4,
+            layer_size=320000,
+        )
+
+        self.assertEqual(filter.num_layers, 1)
+
+        filter.insert('foo')
+
+        for i in range(0, 100000):
+            filter.insert(''.join(random.choice(string.ascii_letters) for j in range(20)))
+
+        filter.insert('bar')
+
+        self.assertEqual(filter.num_layers, 3)
+        self.assertLessEqual(filter.false_positive_rate, 0.01)
+        self.assertLessEqual(filter.utilization, 1.0)
+
+        self.assertTrue(filter.exists('foo'))
+        self.assertTrue(filter.exists('bar'))
+        self.assertFalse(filter.exists('father'))