## Benchmarks and speed { #benchmarks-and-speed }

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

        if (expectedClass.isInstance(failure)) {
          found = true
          break
        }
      }
      assertThat(
        found,
        "Expected exception type among ${allowedExceptionTypes.contentToString()}, got $failure",
      ).isTrue()
    }

  fun assertFailure(vararg messages: String) =
    apply {
      assertThat(failure, "No failure found").isNotNull()

  }

  /**
   * Returns {@code true} if the provided keys are among the keys provided when the table was
   * constructed.
   */
  @Override
  public boolean contains(@Nullable Object rowKey, @Nullable Object columnKey) {
    return containsRow(rowKey) && containsColumn(columnKey);
  }

  /**
   * Returns {@code true} if the provided column key is among the column keys provided when the
   * table was constructed.
   */

    /**
     * Resolves the transitive dependencies of the specified projects. Note that dependencies which can't be resolved
     * from any repository but are present among the set of specified projects will not cause an exception. Instead,
     * those unresolved artifacts will be returned in the result set, allowing the caller to take special care of
     * artifacts that haven't been build yet.
     *

        }
        return list;
    }

    /**
     * Filter out whitelisted projects with a big twist:
     * Assume we have all projects {@code a, b, c} while active are {@code a, c} and relation among all projects
     * is {@code a -> b -> c}. This method handles well the case for transitive list. But, for non-transitive we need

 * able to do
 *
 * - now what is really the difference between this and loading a component in plexus - custom
 * classloading capability - remote resolution of dependencies - do we want a model for sharing
 * information among plugins, is this more like an extension point - do we need a sort of bus for
 * application data - do we need a dictionary for our applications like Apple does. We could easily

    // Execute the runnable immediately. Because of scheduling this may end up getting called before
    // some of the previously added runnables, but we're OK with that. If we want to change the
    // contract to guarantee ordering among runnables we'd have to modify the logic here to allow
    // it.
    executeListener(runnable, executor);
  }

  /**
   * Runs this execution list, executing all existing pairs in the order they were added. However,

import okhttp3.internal.addIfAbsent
import okhttp3.internal.concurrent.TaskRunner.Companion.INSTANCE
import okhttp3.internal.okHttpName
import okhttp3.internal.threadFactory

/**
 * A set of worker threads that are shared among a set of task queues.
 *
 * Use [INSTANCE] for a task runner that uses daemon threads. There is not currently a shared
 * instance for non-daemon threads.
 *

        verify(mockEntry, times(1)).lastAccess();
        verify(mockEntry, times(1)).length();
        verify(mockEntry, never()).getFileIndex();

        // Verify order among a subset of calls
        InOrder inOrder = inOrder(mockEntry);
        inOrder.verify(mockEntry).getName();
        inOrder.verify(mockEntry, times(2)).getType();
    }

    @Test

There are several alternatives, including:

* [Uvicorn](https://www.uvicorn.dev/): a high performance ASGI server.
* [Hypercorn](https://hypercorn.readthedocs.io/): an ASGI server compatible with HTTP/2 and Trio among other features.
* [Daphne](https://github.com/django/daphne): the ASGI server built for Django Channels.
* [Granian](https://github.com/emmett-framework/granian): A Rust HTTP server for Python applications.