And that's the same level of performance you get with **FastAPI**.

   * close or flush the reader.
   *
   * <p>This is identical to {@link #copy(Readable, Appendable)} but optimized for these specific
   * types. CharBuffer has poor performance when being written into or read out of so round tripping
   * all the bytes through the buffer takes a long time. With these specialized types we can just
   * use a char array.
   *
   * @param from the object to read from

import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.StringReader;
import java.io.StringWriter;
import java.util.Random;

/** Benchmark for {@code BaseEncoding} performance. */
public class BaseEncodingBenchmark {
  private static final int INPUTS_COUNT = 0x1000;
  private static final int INPUTS_MASK = 0xFFF;

  enum EncodingOption {
    BASE64(BaseEncoding.base64()),

import java.util.Random;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
public class CharStreamsCopyBenchmark {
  enum CopyStrategy {
    OLD {

import java.util.Random;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
public class CharStreamsCopyBenchmark {
  enum CopyStrategy {
    OLD {

TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.

Ve bu **FastAPI** ile elde ettiğiniz performans düzeyiyle aynıdır.

# Gradle
# ------
.gradle
/build
/*/build
/*/*/build
/*/*/*/build
/*/*/*/*/build
/*/docs/src/samples/**/build
/*/docs/src/snippets/**/build
/*/internal-android-performance-testing/build-android-libs
test-splits/
/gradle/verification-keyring.gpg

# Kotlin
# ------
.kotlin

# IDEA
# ----
!/.idea
/.idea/*

---

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

The key features are:

* **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance).
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. *

 *
 * <p>The core interface used to represent caches is {@link Cache}. In-memory caches can be
 * configured and created using {@link CacheBuilder}, with cache entries being loaded by {@link
 * CacheLoader}. Statistics about cache performance are exposed using {@link CacheStats}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caches</a>.
 *