Add benchmarking test suite and greatly improve performance in a few cases (#948)

* Add benchmarking test suite

* Improve amortized time of model relation loads with a large number of rows

* Improve performance of loading models with many related models

* Improve performance of loading models with many related models to O(N)ish

* Fix bug where N model creation with shared related model would build in N^2 time

* Lower blocking time for queryset results

* Add docstrings and streamline hash code

Co-authored-by: haydeec1 <Eric.Haydel@jhuapl.edu>

benchmarks/test_benchmark_init.py

@@ -0,0 +1,48 @@
+import random
+import string
+
+import pytest
+
+from benchmarks.conftest import Author, Book, Publisher
+
+pytestmark = pytest.mark.asyncio
+
+
+@pytest.mark.parametrize("num_models", [250, 500, 1000])
+async def test_initializing_models(aio_benchmark, num_models: int):
+    @aio_benchmark
+    async def initialize_models(num_models: int):
+        authors = [
+            Author(
+                name="".join(random.sample(string.ascii_letters, 5)),
+                score=random.random() * 100,
+            )
+            for i in range(0, num_models)
+        ]
+        assert len(authors) == num_models
+
+    initialize_models(num_models)
+
+
+@pytest.mark.parametrize("num_models", [10, 20, 40])
+async def test_initializing_models_with_related_models(aio_benchmark, num_models: int):
+    @aio_benchmark
+    async def initialize_models_with_related_models(
+        author: Author, publisher: Publisher, num_models: int
+    ):
+        books = [
+            Book(
+                author=author,
+                publisher=publisher,
+                title="".join(random.sample(string.ascii_letters, 5)),
+                year=random.randint(0, 2000),
+            )
+            for i in range(0, num_models)
+        ]
+
+    author = await Author(name="Author", score=10).save()
+    publisher = await Publisher(name="Publisher", prestige=random.randint(0, 10)).save()
+
+    ids = initialize_models_with_related_models(
+        author=author, publisher=publisher, num_models=num_models
+    )